From d5b8f13182a27528d69551f834be9111783f6b9a Mon Sep 17 00:00:00 2001 From: Yunzhi-Chen Date: Wed, 17 Jun 2026 17:34:09 -0600 Subject: [PATCH 01/16] Initial code --- state_policies/README.md | 92 + state_policies/data_processing.py | 46 +- .../inputs/RPS data for NREL_June 2026.xlsx | Bin 0 -> 201978 bytes .../generate_comparison_plots.py | 159 + .../old ReEDS input/ces_fraction0.csv | 1306 ++++---- .../old ReEDS input/hydrofrac_policy0.csv | 80 +- .../old ReEDS input/rps_fraction0.csv | 2653 +++++++++-------- .../old and new data comparison.ipynb | 363 --- state_policies/outputs/ces_fraction.csv | 768 ++--- .../ces_fraction_intermediate.csv | 748 ++--- .../rps_fraction_intermediate.csv | 1358 ++++----- state_policies/outputs/rps_fraction.csv | 1320 ++++---- 12 files changed, 4428 insertions(+), 4465 deletions(-) create mode 100644 state_policies/README.md create mode 100644 state_policies/inputs/RPS data for NREL_June 2026.xlsx create mode 100644 state_policies/old and new data comparison/generate_comparison_plots.py delete mode 100644 state_policies/old and new data comparison/old and new data comparison.ipynb diff --git a/state_policies/README.md b/state_policies/README.md new file mode 100644 index 0000000..0952f48 --- /dev/null +++ b/state_policies/README.md @@ -0,0 +1,92 @@ +# Overview + +This folder produces three CSV files that ReEDS consumes as state-level +renewable / clean energy policy inputs: + +| Output | Description | +| --- | --- | +| `outputs/rps_fraction.csv` | Required RPS fraction of retail sales by state and year, plus voluntary RPS and Nova Scotia (NS) rows. Columns: `t, st, rps_all, rps_solar, rps_wind`. | +| `outputs/ces_fraction.csv` | Required CES fraction of retail sales by state and year. Columns: `*t, st, Value`. | +| `outputs/hydrofrac_policy.csv` | State-level fraction of existing hydro / non-RE generation that already counts toward each state's RPS_All and CES targets. Columns: `*st, RPS_All, CES`. | + +Both `rps_fraction.csv` and `ces_fraction.csv` are produced as piecewise-linear +ramps between policy "change points", so the year-over-year trajectory is smooth +even when the underlying LBNL data jumps (for example when a state has a 2050 +target with otherwise flat interim values). The un-interpolated values are +saved in `outputs/intermediate outputs/` for diagnostic purposes and are used +by the comparison plots described below. + +# Running the script + +From this folder: + +``` +python data_processing.py +``` + +The script reads everything from `inputs/` and writes the three CSVs above to +`outputs/`, plus diagnostic intermediates to `outputs/intermediate outputs/`. + +# Input files + +All located in `inputs/`: + +| Input | Description | +| --- | --- | +| `RPS data for NREL_June 2026.xlsx` | Annual LBNL state RPS / CES dataset, provided by Galen Barbose. Source: https://emp.lbl.gov/projects/renewables-portfolio. The script reads three sheets: `Statewide Sales`, `RPS & CES Demand (GWh)`, and (currently from the previous-year file — see note below) `Non-RE Accounting`. | +| `RPS data for NREL_June 2025.xlsx` | Previous-year LBNL file. Retained because the June 2026 LBNL release removed the `Non-RE Accounting` sheet (only national totals remain there now). The script falls back to this 2025 file just for the state-level hydro / MSW / non-RE accounting numbers. The underlying values come from compliance reports and IRPs that change slowly, so this is a reasonable interim. Update this if/when LBNL re-releases a state-level version. | +| `nrel-green-power-data-v2023.xlsx` | NREL Green Power Data, used for the voluntary RPS row. Source: https://www.nrel.gov/analysis/green-power. | +| `RPS_nonUS.csv` | Non-US RPS data provided by the ReEDS team (currently only Nova Scotia, `NS`). | +| `hierarchy.csv` | Region hierarchy from a recent ReEDS Reference run, used to map BAs to states for the hydrofrac calculation. | +| `gen_ann.csv` | Annual generation by tech and BA from a recent ReEDS Reference run, used to compute hydro / non-RE shares for the hydrofrac calculation. | + +# Annual update procedure + +The LBNL state RPS / CES dataset is refreshed roughly once per year. To pick up +a new release: + +1. Download the new LBNL RPS dataset from + https://emp.lbl.gov/projects/renewables-portfolio and place it in + `inputs/` (e.g. `RPS data for NREL_June 2026.xlsx`). +2. Open `data_processing.py` and update the parameters at the top of the file: + - `filename` — point to the new file. + - `Salessheetname`, `Salessheet_usecols`, `Salessheet_skiprows`, `Salessheet_nrows` — match the new sheet's name and header layout. + - `RPSsheetname`, `RPSsheet_usecols`, `RPSsheet_skiprows`, `RPSsheet_nrows` — match the new sheet's name and header layout. + - If LBNL restores a state-level `Non-RE Accounting` sheet, set `filename_hydrofrac = filename` and re-check `Hydrosheet_*` parameters. + - Confirm `hydro_year` is still appropriate for the latest ReEDS Reference run. +3. (Optional, but recommended for PR review) Stage the previous run's outputs + for comparison. From `state_policies/`: + ``` + copy outputs\rps_fraction.csv "old and new data comparison\old ReEDS input\rps_fraction0.csv" + copy outputs\ces_fraction.csv "old and new data comparison\old ReEDS input\ces_fraction0.csv" + copy outputs\hydrofrac_policy.csv "old and new data comparison\old ReEDS input\hydrofrac_policy0.csv" + ``` +4. Run the processing script: + ``` + python data_processing.py + ``` +5. Generate before/after comparison plots: + ``` + cd "old and new data comparison" + python generate_comparison_plots.py + ``` + This writes six PNGs to `old and new data comparison/plots/`: + `rps_all_comparison.png`, `rps_solar_comparison.png`, + `rps_wind_comparison.png`, `ces_fraction_comparison.png`, + `hydrofrac_RPS_All_comparison.png`, and + `hydrofrac_CES_comparison.png`. Attach these to the PR so reviewers can see + what changed. + +# Output files + +Located in `outputs/`. These are the files that get copied into ReEDS: + +* `rps_fraction.csv` +* `ces_fraction.csv` +* `hydrofrac_policy.csv` + +Diagnostic / intermediate files (not used directly by ReEDS) live in +`outputs/intermediate outputs/`: + +* `rps_fraction_intermediate.csv` — RPS fractions before piecewise interpolation. +* `ces_fraction_intermediate.csv` — CES fractions before piecewise interpolation. diff --git a/state_policies/data_processing.py b/state_policies/data_processing.py index c8a6be8..42fd816 100644 --- a/state_policies/data_processing.py +++ b/state_policies/data_processing.py @@ -11,26 +11,44 @@ ### ===========Load Input Data================= ### =========================================== -### Input `RPS data for NREL_June 2025.xlsx` file and convert it to a DataFrame +### Input `RPS data for NREL_June 2026.xlsx` file and convert it to a DataFrame ### If update the input file, please make sure the below table parameters are updated accordingly. -### This file is provided annually by Galen Barbose at LBNL +### This file is provided annually by Galen Barbose at LBNL and downloaded from +### https://emp.lbl.gov/projects/renewables-portfolio ### ---------------------------------------------------------------------------- -filename = os.path.join("inputs", "RPS data for NREL_June 2025.xlsx") - -# Statewide Load sheet as sales data and RPS & CES Demand Projections sheet for RPS and CES data -# are used for capculate `rps_fraction` and `ces_fraction`. -Salessheetname = "Statewide Load" -Salessheet_usecols = "B:BC" -Salessheet_skiprows = 5 +filename = os.path.join("inputs", "RPS data for NREL_June 2026.xlsx") + +# `Statewide Sales` sheet as sales data and `RPS & CES Demand (GWh)` sheet for RPS and CES data +# are used to calculate `rps_fraction` and `ces_fraction`. +# NOTE: In the June 2026 LBNL release, several sheets were renamed and re-laid out +# compared with previous releases (e.g., "Statewide Load" -> "Statewide Sales", +# "RPS & CES Demand Projections" -> "RPS & CES Demand (GWh)"). The header rows also +# moved. The skiprows/usecols/nrows values below match the June 2026 layout. +Salessheetname = "Statewide Sales" +Salessheet_usecols = "A:BB" +Salessheet_skiprows = 19 Salessheet_nrows = 52 -RPSsheetname = "RPS & CES Demand Projections" +RPSsheetname = "RPS & CES Demand (GWh)" RPSsheet_usecols = "A:BB" -RPSsheet_skiprows = 2 -RPSsheet_nrows = 97 +RPSsheet_skiprows = 28 +RPSsheet_nrows = 96 + +### Hydro / Non-RE Accounting input +### ----------------------------------------------------------------------------- +### The state-level hydro / MSW / non-RE accounting data used for the hydrofrac +### calculation lived on the `Non-RE Accounting` sheet of the previous LBNL +### release. That sheet was removed in the June 2026 release (only aggregate, +### national-level totals remain). Until LBNL provides an updated state-level +### source for this accounting, we continue to read this from the June 2025 +### file. The underlying values (state-by-state hydro/MSW serving RPS, plus +### existing nuclear/hydro serving CES) come from compliance reports, IRPs, +### and similar sources that change slowly year-to-year, so this is a +### reasonable interim approach. Update this filename if/when LBNL re-releases +### a state-level version. +filename_hydrofrac = os.path.join("inputs", "RPS data for NREL_June 2025.xlsx") -# Hydro sheet is used for hydrofrac calculation. Hydrosheetname = "Non-RE Accounting" Hydrosheet_RPS_usecols = "A:E" @@ -442,7 +460,7 @@ def piecewise_interpolate(series, base_year, tolerance): ) calculate_hydrofrac( - main_excel_file=filename, + main_excel_file=filename_hydrofrac, gen_df=gen, hierarchy_df=hierarchy ) diff --git a/state_policies/inputs/RPS data for NREL_June 2026.xlsx b/state_policies/inputs/RPS data for NREL_June 2026.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..c719d4a3433f70158848aa3c470fa3812ce8d97d GIT binary patch literal 201978 zcmeFY^LJ%I*d-iwl8$XB9ox2T+ql7vZQC7o)E#zgJ2$p%+s^bmSZlsDGvE9H@6-=< z)~U76IaPZ-dp}jR>L|-WLScYGgTaDvMd3&iN<$mN(+z9AGxoB)6s?Ff68q6fi(L-E zLxhxIaY7&T2V4SyC0D;kUw|{!fYIw&V`N-ADYv^SMmzZoYLh&Y%Jj-?bx7l0PkhZ799y*+tJlP6?w7 z_xQN1s_$>%w(>kF(nW33dP%xw+be***i`ho;g{{JYvQG=QM{$JS2{}V9$KZP4P zTL4^`82_XGf6D$(Ea(4e=zo(Hl=_(w!mp&?BZi+AHWE=p*7 z@He`t2vF4VLLj9AI{n{A*Eaa$PKQY!ciI2OpkeTlH+fWs|9l0y!O&7Vr%M9=?hK&1 zFFY(fW=hF=QM-30&{njR7RZfkkxS0qh}WV_F>2v`NB=_*jwO&8q&uXbvuXNV1->Av 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zqSwL0-+)<9{{irK%-}WP>v-I6z>Mer0QlPre+~FLi1iz=`Q<+V{`PBM1HKN7{03|U z0{v-P|4`1qi4y(K0ULn-1K{6};otYL9^^j&{{0yKJzyQ^e*paZF?{V`{~p6yuwQ_$ zyzAHA_b+ez^*H{ki}D*12&fMN6zJa^meGv literal 0 HcmV?d00001 diff --git a/state_policies/old and new data comparison/generate_comparison_plots.py b/state_policies/old and new data comparison/generate_comparison_plots.py new file mode 100644 index 0000000..853034d --- /dev/null +++ b/state_policies/old and new data comparison/generate_comparison_plots.py @@ -0,0 +1,159 @@ +# Generate comparison plots between the previous ReEDS state-policy inputs +# (derived from the June 2025 LBNL data, stored in `old ReEDS input/`) and the +# updated inputs (derived from the June 2026 LBNL data, stored in `outputs/`). +# +# Plots are saved as PNG files in this folder so they can be attached to a PR. + +import os +import pandas as pd +import matplotlib.pyplot as plt +import numpy as np + +HERE = os.path.dirname(os.path.abspath(__file__)) +OLD_DIR = os.path.join(HERE, "old ReEDS input") +NEW_DIR = os.path.join(HERE, "..", "outputs") +INTERMED_DIR = os.path.join(NEW_DIR, "intermediate outputs") +PLOT_DIR = os.path.join(HERE, "plots") +os.makedirs(PLOT_DIR, exist_ok=True) + +OLD_LABEL = "Old (from June 2025 LBNL data)" +NEW_LABEL = "New (from June 2026 LBNL data, piecewise interpolated)" +INTM_LABEL = "New (from June 2026 LBNL data, not interpolated)" + + +def plot_rps(value_col, title, fname): + df_old = pd.read_csv(os.path.join(OLD_DIR, "rps_fraction0.csv")) + df_new = pd.read_csv(os.path.join(NEW_DIR, "rps_fraction.csv")) + df_int = pd.read_csv(os.path.join(INTERMED_DIR, "rps_fraction_intermediate.csv")) + + states = sorted(set(df_old["st"]).union(df_new["st"])) + cols = 3 + rows = -(-len(states) // cols) + + fig, axes = plt.subplots(rows, cols, figsize=(20, 3.5 * rows), sharex=True, sharey=True) + axes = axes.flatten() + + for i, state in enumerate(states): + ax = axes[i] + s_old = df_old[df_old["st"] == state] + s_new = df_new[df_new["st"] == state] + s_int = df_int[df_int["st"] == state] + ax.plot(s_old["t"], s_old[value_col], label=OLD_LABEL, marker="s", markersize=7, color="C0") + ax.plot(s_new["t"], s_new[value_col], label=NEW_LABEL, color="C3", linestyle="-", linewidth=3) + ax.plot(s_int["t"], s_int[value_col], label=INTM_LABEL, marker="o", markersize=5, linestyle="None", color="C3") + ax.set_title(state) + ax.tick_params(labelbottom=True) + ax.grid(True) + + for j in range(i + 1, len(axes)): + fig.delaxes(axes[j]) + + handles, labels = axes[0].get_legend_handles_labels() + fig.legend(handles, labels, loc="upper center", ncol=3, bbox_to_anchor=(0.5, 0.995)) + fig.suptitle(title, fontsize=18, y=1.0) + plt.tight_layout(rect=[0.03, 0.03, 1, 0.985]) + out_path = os.path.join(PLOT_DIR, fname) + fig.savefig(out_path, dpi=120, bbox_inches="tight") + plt.close(fig) + print(f" saved {out_path}") + + +def plot_ces(): + df_old = pd.read_csv(os.path.join(OLD_DIR, "ces_fraction0.csv")) + df_new = pd.read_csv(os.path.join(NEW_DIR, "ces_fraction.csv")) + df_int = pd.read_csv(os.path.join(INTERMED_DIR, "ces_fraction_intermediate.csv")) + + df_old = df_old.rename(columns={"*t": "t"}) + df_new = df_new.rename(columns={"*t": "t"}) + df_int = df_int.rename(columns={"*t": "t"}) + + states = sorted(set(df_old["st"]).union(df_new["st"])) + cols = 3 + rows = -(-len(states) // cols) + + fig, axes = plt.subplots(rows, cols, figsize=(20, 3.5 * rows), sharex=True, sharey=True) + axes = axes.flatten() + + for i, state in enumerate(states): + ax = axes[i] + s_old = df_old[df_old["st"] == state] + s_new = df_new[df_new["st"] == state] + s_int = df_int[df_int["st"] == state] + ax.plot(s_old["t"], s_old["Value"], label=OLD_LABEL, marker="s", markersize=7, color="C0") + ax.plot(s_new["t"], s_new["Value"], label=NEW_LABEL, color="C3", linestyle="-", linewidth=3) + ax.plot(s_int["t"], s_int["Value"], label=INTM_LABEL, marker="o", markersize=5, linestyle="None", color="C3") + ax.set_title(state) + ax.tick_params(labelbottom=True) + ax.grid(True) + + for j in range(i + 1, len(axes)): + fig.delaxes(axes[j]) + + handles, labels = axes[0].get_legend_handles_labels() + fig.legend(handles, labels, loc="upper center", ncol=3, bbox_to_anchor=(0.5, 0.995)) + fig.suptitle("State CES Fraction Comparison", fontsize=18, y=1.0) + plt.tight_layout(rect=[0.03, 0.03, 1, 0.985]) + out_path = os.path.join(PLOT_DIR, "ces_fraction_comparison.png") + fig.savefig(out_path, dpi=120, bbox_inches="tight") + plt.close(fig) + print(f" saved {out_path}") + + +def plot_hydrofrac(): + df_old = pd.read_csv(os.path.join(OLD_DIR, "hydrofrac_policy0.csv")) + df_new = pd.read_csv(os.path.join(NEW_DIR, "hydrofrac_policy.csv")) + + df_old = df_old.sort_values("st") + df_new = df_new.sort_values("st") + df_merged = pd.merge(df_old, df_new, on="st", how="inner", suffixes=("_old", "_new")) + + x = np.arange(len(df_merged["st"])) * 1.5 + width = 0.6 + + # RPS_All bar plot + fig, ax = plt.subplots(figsize=(18, 6)) + ax.bar(x - width / 2, df_merged["RPS_All_old"], width=width, label=f"RPS_All - {OLD_LABEL}", + color="C0", edgecolor="black", linewidth=0.6, zorder=3) + ax.bar(x + width / 2, df_merged["RPS_All_new"], width=width, label=f"RPS_All - {NEW_LABEL.split(',')[0]}", + color="C3", edgecolor="black", linewidth=0.6, zorder=3) + ax.set_title("Hydrofrac Policy - RPS_All Comparison") + ax.set_xlabel("State") + ax.set_ylabel("Fraction") + ax.set_xticks(x) + ax.set_xticklabels(df_merged["st"], rotation=90) + ax.legend() + ax.grid(True, axis="y", zorder=0) + plt.tight_layout() + out_path = os.path.join(PLOT_DIR, "hydrofrac_RPS_All_comparison.png") + fig.savefig(out_path, dpi=120, bbox_inches="tight") + plt.close(fig) + print(f" saved {out_path}") + + # CES bar plot + fig, ax = plt.subplots(figsize=(18, 6)) + ax.bar(x - width / 2, df_merged["CES_old"], width=width, label=f"CES - {OLD_LABEL}", + color="C0", edgecolor="black", linewidth=0.6, zorder=3) + ax.bar(x + width / 2, df_merged["CES_new"], width=width, label=f"CES - {NEW_LABEL.split(',')[0]}", + color="C3", edgecolor="black", linewidth=0.6, zorder=3) + ax.set_title("Hydrofrac Policy - CES Comparison") + ax.set_xlabel("State") + ax.set_ylabel("Fraction") + ax.set_xticks(x) + ax.set_xticklabels(df_merged["st"], rotation=90) + ax.legend() + ax.grid(True, axis="y", zorder=0) + plt.tight_layout() + out_path = os.path.join(PLOT_DIR, "hydrofrac_CES_comparison.png") + fig.savefig(out_path, dpi=120, bbox_inches="tight") + plt.close(fig) + print(f" saved {out_path}") + + +if __name__ == "__main__": + print("Generating comparison plots...") + plot_rps("rps_all", "State RPS All Fraction Comparison", "rps_all_comparison.png") + plot_rps("rps_solar", "State RPS Solar Fraction Comparison", "rps_solar_comparison.png") + plot_rps("rps_wind", "State RPS Wind Fraction Comparison", "rps_wind_comparison.png") + plot_ces() + plot_hydrofrac() + print("Done.") diff --git a/state_policies/old and new data comparison/old ReEDS input/ces_fraction0.csv b/state_policies/old and new data comparison/old ReEDS input/ces_fraction0.csv index a5d5715..a5c6f75 100644 --- a/state_policies/old and new data comparison/old ReEDS input/ces_fraction0.csv +++ b/state_policies/old and new data comparison/old ReEDS input/ces_fraction0.csv @@ -1,657 +1,657 @@ *t,st,Value -2010,CA,0 -2011,CA,0 -2012,CA,0 -2013,CA,0 -2014,CA,0 -2015,CA,0 -2016,CA,0 -2017,CA,0 -2018,CA,0 -2019,CA,0 -2020,CA,0 -2021,CA,0 -2022,CA,0 -2023,CA,0 -2024,CA,0 -2025,CA,0 -2026,CA,0 -2027,CA,0 -2028,CA,0 -2029,CA,0 -2030,CA,0.571429838 -2031,CA,0.628569838 -2032,CA,0.685709838 -2033,CA,0.742849838 -2034,CA,0.799989838 -2035,CA,0.857145219 -2036,CA,0.866665219 -2037,CA,0.876185219 -2038,CA,0.885705219 -2039,CA,0.895225219 -2040,CA,0.904757449 -2041,CA,0.914277449 -2042,CA,0.923797449 -2043,CA,0.933317449 -2044,CA,0.942837449 -2045,CA,0.952375857 -2046,CA,0.952376107 -2047,CA,0.952375695 -2048,CA,0.952375446 -2049,CA,0.952374512 -2050,CA,0.952373039 -2010,CO,0 -2011,CO,0 -2012,CO,0 -2013,CO,0 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+2013,WA,0.0237972567657247 +2014,WA,0.0240328088261636 +2015,WA,0.0243988939922307 +2016,WA,0.0740477251320336 +2017,WA,0.0716242116390437 +2018,WA,0.0745460650203379 +2019,WA,0.0742366738735575 +2020,WA,0.1284886411136468 +2021,WA,0.12683690076839 +2022,WA,0.1257143528705494 +2023,WA,0.1319502774020865 +2024,WA,0.25544779551129476 +2025,WA,0.37894531362050304 +2026,WA,0.5024428317297113 +2027,WA,0.6259403498389196 +2028,WA,0.7494378679481278 +2029,WA,0.8729353860573361 +2030,WA,0.9964329041665444 +2031,WA,0.9964852597514556 +2032,WA,0.996506733147692 +2033,WA,0.9965436476382658 +2034,WA,0.9965805621288396 +2035,WA,0.9966174766194134 +2036,WA,0.9966543911099871 +2037,WA,0.996691305600561 +2038,WA,0.9967282200911347 +2039,WA,0.9967651345817086 +2040,WA,0.9968020490722823 +2041,WA,0.9968389635628561 +2042,WA,0.9968758780534299 +2043,WA,0.9969127925440037 +2044,WA,0.9969497070345775 +2045,WA,0.9969866215251513 +2046,WA,0.9971113190770527 +2047,WA,0.9971389806899228 +2048,WA,0.9971217622407564 +2049,WA,0.9971342794874465 +2050,WA,0.9971711939780202 diff --git a/state_policies/old and new data comparison/old ReEDS input/hydrofrac_policy0.csv b/state_policies/old and new data comparison/old ReEDS input/hydrofrac_policy0.csv index 5d7a21e..a63a11f 100644 --- a/state_policies/old and new data comparison/old ReEDS input/hydrofrac_policy0.csv +++ b/state_policies/old and new data comparison/old ReEDS input/hydrofrac_policy0.csv @@ -1,33 +1,49 @@ st,RPS_All,CES -AZ,0,0 -CA,0.097668535,0.981542938 -CO,0.224210886,0.224210886 -CT,1,1 -DC,0,0 -DE,1,1 -IA,0,0 -IL,1,1 -KS,0,0 -MA,1,1 -MD,0.643318223,0.643318223 -ME,0.116100313,0.116100313 -MI,0.020694884,1 -MN,0.030955937,0.828476459 -MO,0.670753266,0.670753266 -MT,0.007453022,0.007453022 -NC,0.051385678,0.589676279 -NE,,1 -NH,0.204904469,0.204904469 -NJ,0,0 -NM,0,0 -NV,0.203143844,0.203143844 -NY,1,1 -OH,1,1 -OR,0.023177417,0.16112402 -PA,0.282815747,0.282815747 -RI,1,1 -TX,0,0 -VA,1,1 -VT,1,1 -WA,0.015598495,0.65741412 -WI,0.004712047,0.004712047 +AL,0.0,0.0 +AR,0.0,0.0 +AZ,0.0,0.0 +CA,0.123024889,1.0 +CO,0.280634114,1.0 +CT,1.0,1.0 +DE,0.0,0.0 +FL,0.0,0.0 +GA,0.0,0.0 +HI,0.0,0.0 +IA,0.0,0.0 +ID,0.0,0.0 +IL,1.0,1.0 +IN,0.0,0.0 +KS,0.0,0.0 +KY,0.0,0.0 +LA,0.0,0.0 +MA,1.0,1.0 +MD,0.588592791,0.588592791 +ME,0.15927982,0.15927982 +MI,0.905071205,1.0 +MN,1.0,1.0 +MO,0.783530075,0.783530075 +MT,0.011194711,0.011194711 +NC,0.256900823,0.256900823 +ND,0.0,0.0 +NE,0.0,0.0 +NH,0.218553617,0.218553617 +NJ,0.0,0.0 +NM,0.0,0.0 +NV,1.0,1.0 +NY,1.0,1.0 +OH,0.0,0.0 +OK,0.0,0.0 +OR,0.064013777,0.064013777 +PA,0.254119216,0.254119216 +RI,1.0,1.0 +SC,0.0,0.0 +SD,0.0,0.0 +TN,0.0,0.0 +TX,0.0,0.0 +UT,0.0,0.0 +VA,1.0,1.0 +VT,1.0,1.0 +WA,0.01844678,0.01844678 +WI,0.005657298,0.005657298 +WV,0.0,0.0 +WY,0.0,0.0 diff --git a/state_policies/old and new data comparison/old ReEDS input/rps_fraction0.csv b/state_policies/old and new data comparison/old ReEDS input/rps_fraction0.csv index 52ae265..a816590 100644 --- a/state_policies/old and new data comparison/old ReEDS input/rps_fraction0.csv +++ b/state_policies/old and new data comparison/old ReEDS input/rps_fraction0.csv @@ -1,1307 +1,1348 @@ t,st,rps_all,rps_solar,rps_wind -2010,AZ,0.014699825,0,0 -2011,AZ,0.017571947,0,0 -2012,AZ,0.020739902,0,0 -2013,AZ,0.023478094,0,0 -2014,AZ,0.026080094,0,0 -2015,AZ,0.029287116,0,0 -2016,AZ,0.034897819,0,0 -2017,AZ,0.040517344,0,0 -2018,AZ,0.04589746,0,0 -2019,AZ,0.050606453,0,0 -2020,AZ,0.057829773,0,0 -2021,AZ,0.063572809,0,0 -2022,AZ,0.069352156,0,0 -2023,AZ,0.075131502,0,0 -2024,AZ,0.080910848,0,0 -2025,AZ,0.086690195,0,0 -2026,AZ,0.086690195,0,0 -2027,AZ,0.086690195,0,0 -2028,AZ,0.086690195,0,0 -2029,AZ,0.086690195,0,0 -2030,AZ,0.086690195,0,0 -2031,AZ,0.086690195,0,0 -2032,AZ,0.086690195,0,0 -2033,AZ,0.086690195,0,0 -2034,AZ,0.086690195,0,0 -2035,AZ,0.086690195,0,0 -2036,AZ,0.086690195,0,0 -2037,AZ,0.086690195,0,0 -2038,AZ,0.086690195,0,0 -2039,AZ,0.086690195,0,0 -2040,AZ,0.086690195,0,0 -2041,AZ,0.086690195,0,0 -2042,AZ,0.086690195,0,0 -2043,AZ,0.086690195,0,0 -2044,AZ,0.086690195,0,0 -2045,AZ,0.086690195,0,0 -2046,AZ,0.086690195,0,0 -2047,AZ,0.086690195,0,0 -2048,AZ,0.086690195,0,0 -2049,AZ,0.086690195,0,0 -2050,AZ,0.086690195,0,0 -2010,CA,0.167825243,0,0 -2011,CA,0.196646793,0,0 -2012,CA,0.196608593,0,0 -2013,CA,0.193974156,0,0 -2014,CA,0.207861202,0,0 -2015,CA,0.219527831,0,0 -2016,CA,0.242832834,0,0 -2017,CA,0.261122666,0,0 -2018,CA,0.28033585,0,0 -2019,CA,0.297907719,0,0 -2020,CA,0.314693891,0,0 -2021,CA,0.34095031,0,0 -2022,CA,0.366661628,0,0 -2023,CA,0.39333604,0,0 -2024,CA,0.419052505,0,0 -2025,CA,0.447622503,0,0 -2026,CA,0.46857337,0,0 -2027,CA,0.495240433,0,0 -2028,CA,0.520001638,0,0 -2029,CA,0.544762979,0,0 -2030,CA,0.571429838,0,0 -2031,CA,0.571430458,0,0 -2032,CA,0.571430667,0,0 -2033,CA,0.571430871,0,0 -2034,CA,0.571430567,0,0 -2035,CA,0.571430146,0,0 -2036,CA,0.571429371,0,0 -2037,CA,0.571428482,0,0 -2038,CA,0.571427573,0,0 -2039,CA,0.571426524,0,0 -2040,CA,0.571425757,0,0 -2041,CA,0.571425255,0,0 -2042,CA,0.571425077,0,0 -2043,CA,0.571425444,0,0 -2044,CA,0.571426057,0,0 -2045,CA,0.571425514,0,0 -2046,CA,0.571425664,0,0 -2047,CA,0.571425417,0,0 -2048,CA,0.571425268,0,0 -2049,CA,0.571424707,0,0 -2050,CA,0.571423823,0,0 -2010,CO,0.024639923,0,0 -2011,CO,0.06107997,0,0 -2012,CO,0.06222483,0,0 -2013,CO,0.062745152,0,0 -2014,CO,0.062568409,0,0 -2015,CO,0.106926153,0,0 -2016,CO,0.106294156,0,0 -2017,CO,0.105949049,0,0 -2018,CO,0.106535949,0,0 -2019,CO,0.10464691,0,0 -2020,CO,0.193329948,0,0 -2021,CO,0.193286412,0,0 -2022,CO,0.193953725,0,0 -2023,CO,0.194774301,0,0 -2024,CO,0.195272412,0,0 -2025,CO,0.195712274,0,0 -2026,CO,0.196086891,0,0 -2027,CO,0.196416229,0,0 -2028,CO,0.196816321,0,0 -2029,CO,0.197161897,0,0 -2030,CO,0.197471993,0,0 -2031,CO,0.197814631,0,0 -2032,CO,0.198188006,0,0 -2033,CO,0.198528977,0,0 -2034,CO,0.198884134,0,0 -2035,CO,0.199270443,0,0 -2036,CO,0.199630227,0,0 -2037,CO,0.199953512,0,0 -2038,CO,0.200234076,0,0 -2039,CO,0.20050084,0,0 -2040,CO,0.200772282,0,0 -2041,CO,0.201092184,0,0 -2042,CO,0.201422021,0,0 -2043,CO,0.201781657,0,0 -2044,CO,0.20212559,0,0 -2045,CO,0.202600254,0,0 -2046,CO,0.202919872,0,0 -2047,CO,0.203268687,0,0 -2048,CO,0.203603897,0,0 -2049,CO,0.203933498,0,0 -2050,CO,0.20428859,0,0 -2010,CT,0.099872627,0,0 -2011,CT,0.109933497,0,0 -2012,CT,0.119835667,0,0 -2013,CT,0.129677651,0,0 -2014,CT,0.139935305,0,0 -2015,CT,0.154789077,0,0 -2016,CT,0.169498328,0,0 -2017,CT,0.184234101,0,0 -2018,CT,0.208793717,0,0 -2019,CT,0.233195798,0,0 -2020,CT,0.247624372,0,0 -2021,CT,0.262112063,0,0 -2022,CT,0.276948595,0,0 -2023,CT,0.296730637,0,0 -2024,CT,0.31651268,0,0 -2025,CT,0.336294722,0,0 -2026,CT,0.356076765,0,0 -2027,CT,0.375858807,0,0 -2028,CT,0.395640849,0,0 -2029,CT,0.415422892,0,0 -2030,CT,0.435204934,0,0 -2031,CT,0.435204934,0,0 -2032,CT,0.435204934,0,0 -2033,CT,0.435204934,0,0 -2034,CT,0.435204934,0,0 -2035,CT,0.435204934,0,0 -2036,CT,0.435204934,0,0 -2037,CT,0.435204934,0,0 -2038,CT,0.435204934,0,0 -2039,CT,0.435204934,0,0 -2040,CT,0.435204934,0,0 -2041,CT,0.435204934,0,0 -2042,CT,0.435204934,0,0 -2043,CT,0.435204934,0,0 -2044,CT,0.435204934,0,0 -2045,CT,0.435204934,0,0 -2046,CT,0.435204934,0,0 -2047,CT,0.435204934,0,0 -2048,CT,0.435204934,0,0 -2049,CT,0.435204934,0,0 -2050,CT,0.435204934,0,0 -2010,DE,0.023865762,8.37E-05,0 -2011,DE,0.033084653,0.000110108,0 -2012,DE,0.045039348,0.001191896,0 -2013,DE,0.056191786,0.002452665,0 -2014,DE,0.064552326,0.004689766,0 -2015,DE,0.06731478,0.006751079,0 -2016,DE,0.082432533,0.008797505,0 -2017,DE,0.093431631,0.010786336,0 -2018,DE,0.098393214,0.011973691,0 -2019,DE,0.122923837,0.015158215,0 -2020,DE,0.136144406,0.017378455,0 -2021,DE,0.13444741,0.018274017,0 -2022,DE,0.147391973,0.020742487,0 -2023,DE,0.160303489,0.023360253,0 -2024,DE,0.165625109,0.025010991,0 -2025,DE,0.175451804,0.027217642,0 -2026,DE,0.183480245,0.029172938,0 -2027,DE,0.18791351,0.031239931,0 -2028,DE,0.192299117,0.033293804,0 -2029,DE,0.197044179,0.035404254,0 -2030,DE,0.20162871,0.037493221,0 -2031,DE,0.210477652,0.041652971,0 -2032,DE,0.228138628,0.048310856,0 -2033,DE,0.245901797,0.054989952,0 -2034,DE,0.263529892,0.061641666,0 -2035,DE,0.289776871,0.069894533,0 -2036,DE,0.315867473,0.083187405,0 -2037,DE,0.315836259,0.083111365,0 -2038,DE,0.316567158,0.083227443,0 -2039,DE,0.317087072,0.083301899,0 -2040,DE,0.316909931,0.083202188,0 -2041,DE,0.316902081,0.083135968,0 -2042,DE,0.316978599,0.08308492,0 -2043,DE,0.317246443,0.083078887,0 -2044,DE,0.317437328,0.08305268,0 -2045,DE,0.317572899,0.083009806,0 -2046,DE,0.317844356,0.082998503,0 -2047,DE,0.317918664,0.082935315,0 -2048,DE,0.318267792,0.0829379,0 -2049,DE,0.318366467,0.08287643,0 -2050,DE,0.318264569,0.082757401,0 -2010,IA,0.006508928,0,0 -2011,IA,0.006479045,0,0 -2012,IA,0.006471359,0,0 -2013,IA,0.00633334,0,0 -2014,IA,0.006266703,0,0 -2015,IA,0.006273955,0,0 -2016,IA,0.006107634,0,0 -2017,IA,0.00604636,0,0 -2018,IA,0.005776142,0,0 -2019,IA,0.005795097,0,0 -2020,IA,0.005841248,0,0 -2021,IA,0.005592394,0,0 -2022,IA,0.005423358,0,0 -2023,IA,0.005452028,0,0 -2024,IA,0.005478758,0,0 -2025,IA,0.005454992,0,0 -2026,IA,0.005414402,0,0 -2027,IA,0.00537475,0,0 -2028,IA,0.00534624,0,0 -2029,IA,0.005325909,0,0 -2030,IA,0.005299603,0,0 -2031,IA,0.005276215,0,0 -2032,IA,0.00524526,0,0 -2033,IA,0.005219235,0,0 -2034,IA,0.005190213,0,0 -2035,IA,0.005154037,0,0 -2036,IA,0.005123356,0,0 -2037,IA,0.005095058,0,0 -2038,IA,0.00506844,0,0 -2039,IA,0.005051974,0,0 -2040,IA,0.005035845,0,0 -2041,IA,0.005012189,0,0 -2042,IA,0.004982555,0,0 -2043,IA,0.004949602,0,0 -2044,IA,0.004920172,0,0 -2045,IA,0.00489043,0,0 -2046,IA,0.004857897,0,0 -2047,IA,0.004820552,0,0 -2048,IA,0.004787651,0,0 -2049,IA,0.004753795,0,0 -2050,IA,0.004713768,0,0 -2010,IL,0.023579014,0,0 -2011,IL,0.032331711,0,0 -2012,IL,0.037487941,0,0 -2013,IL,0.046755166,0,0 -2014,IL,0.05352513,0,0 -2015,IL,0.056286259,0,0 -2016,IL,0.047161615,0,0 -2017,IL,0.056818194,0,0 -2018,IL,0.062034408,0,0 -2019,IL,0.104093491,0,0 -2020,IL,0.151600762,0,0 -2021,IL,0.168447577,0.014739606,0.014739606 -2022,IL,0.174544322,0.040383124,0.033040738 -2023,IL,0.189431209,0.057384441,0.046950906 -2024,IL,0.206359868,0.072788482,0.059554212 -2025,IL,0.22161836,0.088857469,0.072701565 -2026,IL,0.233760337,0.10444132,0.085451989 -2027,IL,0.261686027,0.119893421,0.098094617 -2028,IL,0.289974317,0.135224535,0.110638256 -2029,IL,0.319208902,0.150507489,0.123142491 -2030,IL,0.348585112,0.165599713,0.135490674 -2031,IL,0.377151678,0.180462059,0.147650776 -2032,IL,0.377000488,0.179747948,0.147066503 -2033,IL,0.376948346,0.178917536,0.146387075 -2034,IL,0.376340025,0.178034454,0.145664553 -2035,IL,0.376081642,0.177132061,0.144926231 -2036,IL,0.375155841,0.176083085,0.144067978 -2037,IL,0.373613115,0.174795454,0.143014462 -2038,IL,0.373374488,0.173821984,0.142217987 -2039,IL,0.373324671,0.173144493,0.141663676 -2040,IL,0.372679213,0.172160324,0.140858447 -2041,IL,0.464711554,0.171102193,0.139992703 -2042,IL,0.462648711,0.169940827,0.139042495 -2043,IL,0.460710019,0.168759256,0.138075755 -2044,IL,0.458625574,0.167413936,0.136975039 -2045,IL,0.456364804,0.165879138,0.135719295 -2046,IL,0.454421646,0.164357091,0.134473983 -2047,IL,0.451759227,0.162662902,0.133087829 -2048,IL,0.449352087,0.161026116,0.13174864 -2049,IL,0.446707689,0.159199527,0.130254158 -2050,IL,0.444150289,0.157188653,0.128608898 -2010,KS,0,0,0 -2011,KS,0.070817893,0,0 -2012,KS,0.072153965,0,0 -2013,KS,0.074305196,0,0 -2014,KS,0.072627765,0,0 -2015,KS,0,0,0 -2016,KS,0,0,0 -2017,KS,0,0,0 -2018,KS,0,0,0 -2019,KS,0,0,0 -2020,KS,0,0,0 -2021,KS,0,0,0 -2022,KS,0,0,0 -2023,KS,0,0,0 -2024,KS,0,0,0 -2025,KS,0,0,0 -2026,KS,0,0,0 -2027,KS,0,0,0 -2028,KS,0,0,0 -2029,KS,0,0,0 -2030,KS,0,0,0 -2031,KS,0,0,0 -2032,KS,0,0,0 -2033,KS,0,0,0 -2034,KS,0,0,0 -2035,KS,0,0,0 -2036,KS,0,0,0 -2037,KS,0,0,0 -2038,KS,0,0,0 -2039,KS,0,0,0 -2040,KS,0,0,0 -2041,KS,0,0,0 -2042,KS,0,0,0 -2043,KS,0,0,0 -2044,KS,0,0,0 -2045,KS,0,0,0 -2046,KS,0,0,0 -2047,KS,0,0,0 -2048,KS,0,0,0 -2049,KS,0,0,0 -2050,KS,0,0,0 -2010,MA,0.073658887,0.000598073,0 -2011,MA,0.081944546,0.001414021,0 -2012,MA,0.091792017,0.001474491,0 -2013,MA,0.082184331,0.003425256,0 -2014,MA,0.093317076,0.009370152,0 -2015,MA,0.104370962,0.022629544,0 -2016,MA,0.11716286,0.023662671,0 -2017,MA,0.126147847,0.043994566,0 -2018,MA,0.13473495,0.056072794,0 -2019,MA,0.141824995,0.060153314,0 -2020,MA,0.168985012,0.06943708,0 -2021,MA,0.189454535,0.078765508,0 -2022,MA,0.207026396,0.084426274,0 -2023,MA,0.224919823,0.087425565,0 -2024,MA,0.241367963,0.09337409,0 -2025,MA,0.267725755,0.101076723,0 -2026,MA,0.294083547,0.107922815,0 -2027,MA,0.320441338,0.114802181,0 -2028,MA,0.34679913,0.12134125,0 -2029,MA,0.373156922,0.127783634,0 -2030,MA,0.381942852,0.133912474,0 -2031,MA,0.390728783,0.135498764,0 -2032,MA,0.399514713,0.13441021,0 -2033,MA,0.408300644,0.133164584,0 -2034,MA,0.417086575,0.132685945,0 -2035,MA,0.425872505,0.131032845,0 -2036,MA,0.434658436,0.130355273,0 -2037,MA,0.443444366,0.129098309,0 -2038,MA,0.452230297,0.128114228,0 -2039,MA,0.461016227,0.12696049,0 -2040,MA,0.469802158,0.125788264,0 -2041,MA,0.478588089,0.124675358,0 -2042,MA,0.487374019,0.123385469,0 -2043,MA,0.49615995,0.1221965,0 -2044,MA,0.50494588,0.120824893,0 -2045,MA,0.513731811,0.119510406,0 -2046,MA,0.522517741,0.118446259,0 -2047,MA,0.531303672,0.11716945,0 -2048,MA,0.540089603,0.116139755,0 -2049,MA,0.548875533,0.114753553,0 -2050,MA,0.557661464,0.113404486,0 -2010,MD,0.054110047,0.000637262,0 -2011,MD,0.072016279,0.001028765,0 -2012,MD,0.086420856,0.001602223,0 -2013,MD,0.102623796,0.002837801,0 -2014,MD,0.122441788,0.003828548,0 -2015,MD,0.126119177,0.00521916,0 -2016,MD,0.146309713,0.007064113,0 -2017,MD,0.151054223,0.010939938,0 -2018,MD,0.175377247,0.014062177,0 -2019,MD,0.218747885,0.04814406,0 -2020,MD,0.281938668,0.05291031,0 -2021,MD,0.310148666,0.06216109,0 -2022,MD,0.314773817,0.047137874,0 -2023,MD,0.338362767,0.05128372,0 -2024,MD,0.361951717,0.055502781,0 -2025,MD,0.386638895,0.059721841,0 -2026,MD,0.416745424,0.067720671,0 -2027,MD,0.454730674,0.079572486,0 -2028,MD,0.476320117,0.091497516,0 -2029,MD,0.52250327,0.1032029,0 -2030,MD,0.551971434,0.118688054,0 -2031,MD,0.562221569,0.11905413,0 -2032,MD,0.571007399,0.119420206,0 -2033,MD,0.571007399,0.120152359,0 -2034,MD,0.571007399,0.120884511,0 -2035,MD,0.571007399,0.121616664,0 -2036,MD,0.571007399,0.122348816,0 -2037,MD,0.571007399,0.123080969,0 -2038,MD,0.571007399,0.123813121,0 -2039,MD,0.571007399,0.124545274,0 -2040,MD,0.571007399,0.125277426,0 -2041,MD,0.571007399,0.126009579,0 -2042,MD,0.571007399,0.126009579,0 -2043,MD,0.571007399,0.126009579,0 -2044,MD,0.571007399,0.126009579,0 -2045,MD,0.571007399,0.126009579,0 -2046,MD,0.571007399,0.126009579,0 -2047,MD,0.571007399,0.126009579,0 -2048,MD,0.571007399,0.126009579,0 -2049,MD,0.571007399,0.126009579,0 -2050,MD,0.571007399,0.126009579,0 -2010,ME,0.291911162,0,0 -2011,ME,0.327551847,0,0 -2012,ME,0.331950187,0,0 -2013,ME,0.347093376,0,0 -2014,ME,0.36070169,0,0 -2015,ME,0.364484429,0,0 -2016,ME,0.373684558,0,0 -2017,ME,0.38599649,0,0 -2018,ME,0.378442517,0,0 -2019,ME,0.378835053,0,0 -2020,ME,0.381479475,0,0 -2021,ME,0.402073547,0,0 -2022,ME,0.427168487,0,0 -2023,ME,0.451366656,0,0 -2024,ME,0.486018678,0,0 -2025,ME,0.520222469,0,0 -2026,ME,0.575217405,0,0 -2027,ME,0.60953054,0,0 -2028,ME,0.643849086,0,0 -2029,ME,0.678167884,0,0 -2030,ME,0.722019845,0,0 -2031,ME,0.722035849,0,0 -2032,ME,0.722053493,0,0 -2033,ME,0.722073682,0,0 -2034,ME,0.72208144,0,0 -2035,ME,0.722108234,0,0 -2036,ME,0.722119216,0,0 -2037,ME,0.722139589,0,0 -2038,ME,0.722155539,0,0 -2039,ME,0.72217424,0,0 -2040,ME,0.722193239,0,0 -2041,ME,0.722211277,0,0 -2042,ME,0.722232184,0,0 -2043,ME,0.722251455,0,0 -2044,ME,0.722273687,0,0 -2045,ME,0.722294992,0,0 -2046,ME,0.72231224,0,0 -2047,ME,0.722332935,0,0 -2048,ME,0.722349624,0,0 -2049,ME,0.722372092,0,0 -2050,ME,0.722393958,0,0 -2010,MI,0,0,0 -2011,MI,0,0,0 -2012,MI,0.02928634,0,0 -2013,MI,0.040680904,0,0 -2014,MI,0.05131776,0,0 -2015,MI,0.087114464,0,0 -2016,MI,0.085456785,0,0 -2017,MI,0.087611019,0,0 -2018,MI,0.085129458,0,0 -2019,MI,0.111506268,0,0 -2020,MI,0.116376754,0,0 -2021,MI,0.132836629,0,0 -2022,MI,0.132836629,0,0 -2023,MI,0.132836629,0,0 -2024,MI,0.15,0,0 -2025,MI,0.208333333,0,0 -2026,MI,0.266666666,0,0 -2027,MI,0.324999999,0,0 -2028,MI,0.383333334,0,0 -2029,MI,0.441666667,0,0 -2030,MI,0.5,0,0 -2031,MI,0.52,0,0 -2032,MI,0.54,0,0 -2033,MI,0.56,0,0 -2034,MI,0.58,0,0 -2035,MI,0.6,0,0 -2036,MI,0.6,0,0 -2037,MI,0.6,0,0 -2038,MI,0.6,0,0 -2039,MI,0.6,0,0 -2040,MI,0.6,0,0 -2041,MI,0.6,0,0 -2042,MI,0.6,0,0 -2043,MI,0.6,0,0 -2044,MI,0.6,0,0 -2045,MI,0.6,0,0 -2046,MI,0.6,0,0 -2047,MI,0.6,0,0 -2048,MI,0.6,0,0 -2049,MI,0.6,0,0 -2050,MI,0.6,0,0 -2010,MN,0.106511252,0,0 -2011,MN,0.106090008,0,0 -2012,MN,0.145933492,0,0 -2013,MN,0.145300987,0,0 -2014,MN,0.146745514,0,0 -2015,MN,0.147212489,0,0 -2016,MN,0.206277594,0,0 -2017,MN,0.205294663,0,0 -2018,MN,0.205307585,0,0 -2019,MN,0.204696695,0,0 -2020,MN,0.243756741,0.008994086,0 -2021,MN,0.243104754,0.00911369,0 -2022,MN,0.243104754,0.009110817,0 -2023,MN,0.199833147,0.00910315,0 -2024,MN,0.199833147,0.009096077,0 -2025,MN,0.249791434,0.009104202,0 -2026,MN,0.249791434,0.009117376,0 -2027,MN,0.249791434,0.009130254,0 -2028,MN,0.249791434,0.009139772,0 -2029,MN,0.249791434,0.009146826,0 -2030,MN,0.249791434,0.009155664,0 -2031,MN,0.249791434,0.009163619,0 -2032,MN,0.249791434,0.009173831,0 -2033,MN,0.249791434,0.009182557,0 -2034,MN,0.249791434,0.00919217,0 -2035,MN,0.549541154,0.009203912,0 -2036,MN,0.549541154,0.009213999,0 -2037,MN,0.549541154,0.009223364,0 -2038,MN,0.549541154,0.009232216,0 -2039,MN,0.549541154,0.009238032,0 -2040,MN,0.549541154,0.00924374,0 -2041,MN,0.549541154,0.009251686,0 -2042,MN,0.549541154,0.009261403,0 -2043,MN,0.549541154,0.009272097,0 -2044,MN,0.549541154,0.009281732,0 -2045,MN,0.549541154,0.009291449,0 -2046,MN,0.549541154,0.009301984,0 -2047,MN,0.549541154,0.009313936,0 -2048,MN,0.549541154,0.009324557,0 -2049,MN,0.549541154,0.009335449,0 -2050,MN,0.549541154,0.009348157,0 -2010,MO,0,0,0 -2011,MO,0.013640728,0.000206501,0 -2012,MO,0.013680708,0.000207317,0 -2013,MO,0.013622889,0.000206303,0 -2014,MO,0.033994923,0.000512856,0 -2015,MO,0.034027667,0.000513138,0 -2016,MO,0.033438818,0.000502034,0 -2017,MO,0.033340572,0.000500316,0 -2018,MO,0.066143035,0.000989772,0 -2019,MO,0.06605623,0.000987241,0 -2020,MO,0.065849553,0.000985358,0 -2021,MO,0.098478121,0.001469617,0 -2022,MO,0.098480087,0.001469617,0 -2023,MO,0.098479751,0.001469617,0 -2024,MO,0.098479984,0.001469617,0 -2025,MO,0.098480274,0.001469617,0 -2026,MO,0.098480725,0.001469617,0 -2027,MO,0.098481177,0.001469617,0 -2028,MO,0.098481508,0.001469617,0 -2029,MO,0.098481747,0.001469617,0 -2030,MO,0.098482033,0.001469617,0 -2031,MO,0.098482265,0.001469617,0 -2032,MO,0.098482567,0.001469617,0 -2033,MO,0.098482815,0.001469617,0 -2034,MO,0.098483082,0.001469617,0 -2035,MO,0.098483432,0.001469617,0 -2036,MO,0.098483724,0.001469617,0 -2037,MO,0.098484012,0.001469617,0 -2038,MO,0.098484284,0.001469617,0 -2039,MO,0.098484469,0.001469617,0 -2040,MO,0.098484657,0.001469617,0 -2041,MO,0.0984849,0.001469617,0 -2042,MO,0.098485198,0.001469617,0 -2043,MO,0.098485532,0.001469617,0 -2044,MO,0.098485837,0.001469617,0 -2045,MO,0.09848615,0.001469617,0 -2046,MO,0.0984865,0.001469617,0 -2047,MO,0.098486906,0.001469617,0 -2048,MO,0.098487255,0.001469617,0 -2049,MO,0.098487619,0.001469617,0 -2050,MO,0.098488059,0.001469617,0 -2010,MT,0.068451172,0,0 -2011,MT,0.06992361,0,0 -2012,MT,0.070246901,0,0 -2013,MT,0.070717244,0,0 -2014,MT,0.071028745,0,0 -2015,MT,0.10732458,0,0 -2016,MT,0.107516343,0,0 -2017,MT,0.107720915,0,0 -2018,MT,0.106370651,0,0 -2019,MT,0.102045973,0,0 -2020,MT,0.111256208,0,0 -2021,MT,0,0,0 -2022,MT,0,0,0 -2023,MT,0,0,0 -2024,MT,0,0,0 -2025,MT,0,0,0 -2026,MT,0,0,0 -2027,MT,0,0,0 -2028,MT,0,0,0 -2029,MT,0,0,0 -2030,MT,0,0,0 -2031,MT,0,0,0 -2032,MT,0,0,0 -2033,MT,0,0,0 -2034,MT,0,0,0 -2035,MT,0,0,0 -2036,MT,0,0,0 -2037,MT,0,0,0 -2038,MT,0,0,0 -2039,MT,0,0,0 -2040,MT,0,0,0 -2041,MT,0,0,0 -2042,MT,0,0,0 -2043,MT,0,0,0 -2044,MT,0,0,0 -2045,MT,0,0,0 -2046,MT,0,0,0 -2047,MT,0,0,0 -2048,MT,0,0,0 -2049,MT,0,0,0 -2050,MT,0,0,0 -2010,NC,0.000199649,0.000199649,0 -2011,NC,0.000207767,0.000207767,0 -2012,NC,0.017217865,0.000715133,0 -2013,NC,0.016978978,0.000689683,0 -2014,NC,0.015591457,0.000681205,0 -2015,NC,0.032987803,0.001390219,0 -2016,NC,0.032852192,0.001391983,0 -2017,NC,0.033064162,0.00142957,0 -2018,NC,0.057154038,0.001897679,0 -2019,NC,0.055484072,0.002023922,0 -2020,NC,0.055585561,0.00208945,0 -2021,NC,0.051617633,0.001918998,0 -2022,NC,0.048639941,0.001929151,0 -2023,NC,0.04877413,0.002002769,0 -2024,NC,0.049003015,0.002004411,0 -2025,NC,0.048230807,0.001987963,0 -2026,NC,0.04785821,0.001980404,0 -2027,NC,0.047424557,0.001979116,0 -2028,NC,0.046922817,0.001974866,0 -2029,NC,0.04653296,0.001977731,0 -2030,NC,0.046048535,0.001980279,0 -2031,NC,0.045606285,0.001980794,0 -2032,NC,0.045043269,0.001979268,0 -2033,NC,0.044082787,0.001984983,0 -2034,NC,0.043630581,0.001984295,0 -2035,NC,0.043257177,0.001980168,0 -2036,NC,0.042910284,0.001981346,0 -2037,NC,0.042560022,0.001981034,0 -2038,NC,0.042265035,0.001983505,0 -2039,NC,0.041964419,0.001983084,0 -2040,NC,0.041611726,0.001980517,0 -2041,NC,0.041213411,0.001978251,0 -2042,NC,0.040801636,0.001977475,0 -2043,NC,0.040386482,0.001977132,0 -2044,NC,0.040000783,0.001978394,0 -2045,NC,0.039641533,0.001979503,0 -2046,NC,0.039266751,0.001978533,0 -2047,NC,0.03887775,0.001977659,0 -2048,NC,0.038487865,0.001977444,0 -2049,NC,0.038094387,0.001977066,0 -2050,NC,0.03763937,0.001973643,0 -2010,NE,0,0,0 -2011,NE,0,0,0 -2012,NE,0,0,0 -2013,NE,0,0,0 -2014,NE,0,0,0 -2015,NE,0,0,0 -2016,NE,0,0,0 -2017,NE,0,0,0 -2018,NE,0,0,0 -2019,NE,0,0,0 -2020,NE,0,0,0 -2021,NE,0,0,0 -2022,NE,0,0,0 -2023,NE,0,0,0 -2024,NE,0,0,0 -2025,NE,0,0,0 -2026,NE,0,0,0 -2027,NE,0,0,0 -2028,NE,0,0,0 -2029,NE,0,0,0 -2030,NE,0,0,0 -2031,NE,0,0,0 -2032,NE,0,0,0 -2033,NE,0,0,0 -2034,NE,0,0,0 -2035,NE,0,0,0 -2036,NE,0,0,0 -2037,NE,0,0,0 -2038,NE,0,0,0 -2039,NE,0,0,0 -2040,NE,0,0,0 -2041,NE,0,0,0 -2042,NE,0,0,0 -2043,NE,0,0,0 -2044,NE,0,0,0 -2045,NE,0,0,0 -2046,NE,0,0,0 -2047,NE,0,0,0 -2048,NE,0,0,0 -2049,NE,0,0,0 -2050,NE,0,0,0 -2010,NH,0.074121366,0.000393217,0 -2011,NH,0.094160596,0.00078631,0 -2012,NH,0.055158288,0.001490765,0 -2013,NH,0.057650444,0.001987946,0 -2014,NH,0.063605535,0.002981509,0 -2015,NH,0.070555176,0.002981205,0 -2016,NH,0.072484754,0.002978825,0 -2017,NH,0.154834172,0.00297758,0 -2018,NH,0.16171681,0.004960638,0 -2019,NH,0.165884097,0.005889376,0 -2020,NH,0.174732873,0.006989315,0 -2021,NH,0.179760624,0.006990691,0 -2022,NH,0.184753975,0.006990691,0 -2023,NH,0.189747326,0.006990691,0 -2024,NH,0.198735357,0.006990691,0 -2025,NH,0.207723388,0.006990691,0 -2026,NH,0.207723388,0.006990691,0 -2027,NH,0.207723388,0.006990691,0 -2028,NH,0.207723388,0.006990691,0 -2029,NH,0.207723388,0.006990691,0 -2030,NH,0.207723388,0.006990691,0 -2031,NH,0.207723388,0.006990691,0 -2032,NH,0.207723388,0.006990691,0 -2033,NH,0.207723388,0.006990691,0 -2034,NH,0.207723388,0.006990691,0 -2035,NH,0.207723388,0.006990691,0 -2036,NH,0.207723388,0.006990691,0 -2037,NH,0.207723388,0.006990691,0 -2038,NH,0.207723388,0.006990691,0 -2039,NH,0.207723388,0.006990691,0 -2040,NH,0.207723388,0.006990691,0 -2041,NH,0.207723388,0.006990691,0 -2042,NH,0.207723388,0.006990691,0 -2043,NH,0.207723388,0.006990691,0 -2044,NH,0.207723388,0.006990691,0 -2045,NH,0.207723388,0.006990691,0 -2046,NH,0.207723388,0.006990691,0 -2047,NH,0.207723388,0.006990691,0 -2048,NH,0.207723388,0.006990691,0 -2049,NH,0.207723388,0.006990691,0 -2050,NH,0.207723388,0.006990691,0 -2010,NJ,0.069485919,0.002073506,0 -2011,NJ,0.08472336,0.003981277,0 -2012,NJ,0.094433994,0.005889178,0 -2013,NJ,0.103337326,0.007984738,0 -2014,NJ,0.124274687,0.020337121,0 -2015,NJ,0.132504332,0.023597849,0 -2016,NJ,0.14670512,0.027078266,0 -2017,NJ,0.160934434,0.030203522,0 -2018,NJ,0.170495172,0.030268214,0 -2019,NJ,0.211121132,0.04328109,0 -2020,NJ,0.284291486,0.049050292,0 -2021,NJ,0.276764001,0.049457213,0 -2022,NJ,0.278730847,0.064021853,0 -2023,NJ,0.284488956,0.079816615,0 -2024,NJ,0.277256987,0.090635188,0 -2025,NJ,0.41482223,0.104123916,0 -2026,NJ,0.40993588,0.114883861,0 -2027,NJ,0.408252435,0.113008116,0 -2028,NJ,0.401954233,0.106578573,0 -2029,NJ,0.395754673,0.10042649,0 -2030,NJ,0.533778989,0.091600329,0 -2031,NJ,0.527554327,0.084399666,0 -2032,NJ,0.525726689,0.082626158,0 -2033,NJ,0.522948258,0.078964526,0 -2034,NJ,0.512102002,0.067852807,0 -2035,NJ,0.51153782,0.067401009,0 -2036,NJ,0.511412576,0.066935826,0 -2037,NJ,0.5109451,0.053130473,0 -2038,NJ,0.511658717,0.039591882,0 -2039,NJ,0.51211645,0.026248497,0 -2040,NJ,0.511503457,0.013035985,0 -2041,NJ,0.511096352,0,0 -2042,NJ,0.510782528,0,0 -2043,NJ,0.510745439,0,0 -2044,NJ,0.510584321,0,0 -2045,NJ,0.510320749,0,0 -2046,NJ,0.510251257,0,0 -2047,NJ,0.509862798,0,0 -2048,NJ,0.50987869,0,0 -2049,NJ,0.509500789,0,0 -2050,NJ,0.508769032,0,0 -2010,NM,0.039784149,0,0 -2011,NM,0.066438953,0,0 -2012,NM,0.067493466,0,0 -2013,NM,0.068082325,0,0 -2014,NM,0.06764696,0,0 -2015,NM,0.112787798,0,0 -2016,NM,0.115768593,0,0 -2017,NM,0.117457562,0,0 -2018,NM,0.120549036,0,0 -2019,NM,0.123083277,0,0 -2020,NM,0.163993009,0,0 -2021,NM,0.165460896,0,0 -2022,NM,0.165460896,0,0 -2023,NM,0.165460896,0,0 -2024,NM,0.165460896,0,0 -2025,NM,0.363695731,0,0 -2026,NM,0.363695731,0,0 -2027,NM,0.363695731,0,0 -2028,NM,0.363695731,0,0 -2029,NM,0.363695731,0,0 -2030,NM,0.454619663,0,0 -2031,NM,0.454619663,0,0 -2032,NM,0.454619663,0,0 -2033,NM,0.454619663,0,0 -2034,NM,0.454619663,0,0 -2035,NM,0.454619663,0,0 -2036,NM,0.454619663,0,0 -2037,NM,0.454619663,0,0 -2038,NM,0.454619663,0,0 -2039,NM,0.454619663,0,0 -2040,NM,0.678230552,0,0 -2041,NM,0.678230552,0,0 -2042,NM,0.678230552,0,0 -2043,NM,0.678230552,0,0 -2044,NM,0.678230552,0,0 -2045,NM,0.678230552,0,0 -2046,NM,0.678230552,0,0 -2047,NM,0.678230552,0,0 -2048,NM,0.678230552,0,0 -2049,NM,0.678230552,0,0 -2050,NM,0.727391461,0,0 -2016,NS,0.25,0,0 -2017,NS,0.25,0,0 -2018,NS,0.25,0,0 -2019,NS,0.25,0,0 -2020,NS,0.4,0,0 -2021,NS,0.4,0,0 -2022,NS,0.4,0,0 -2023,NS,0.4,0,0 -2024,NS,0.4,0,0 -2025,NS,0.4,0,0 -2026,NS,0.4,0,0 -2027,NS,0.4,0,0 -2028,NS,0.4,0,0 -2029,NS,0.4,0,0 -2030,NS,0.4,0,0 -2031,NS,0.4,0,0 -2032,NS,0.4,0,0 -2033,NS,0.4,0,0 -2034,NS,0.4,0,0 -2035,NS,0.4,0,0 -2036,NS,0.4,0,0 -2037,NS,0.4,0,0 -2038,NS,0.4,0,0 -2039,NS,0.4,0,0 -2040,NS,0.4,0,0 -2041,NS,0.4,0,0 -2042,NS,0.4,0,0 -2043,NS,0.4,0,0 -2044,NS,0.4,0,0 -2045,NS,0.4,0,0 -2046,NS,0.4,0,0 -2047,NS,0.4,0,0 -2048,NS,0.4,0,0 -2049,NS,0.4,0,0 -2050,NS,0.4,0,0 -2010,NV,0.073377711,0,0 -2011,NV,0.090315413,0,0 -2012,NV,0.089259599,0,0 -2013,NV,0.108395018,0,0 -2014,NV,0.10818668,0,0 -2015,NV,0.129358323,0,0 -2016,NV,0.130565523,0,0 -2017,NV,0.131143212,0,0 -2018,NV,0.132044217,0,0 -2019,NV,0.130005772,0,0 -2020,NV,0.166516051,0,0 -2021,NV,0.18003433,0,0 -2022,NV,0.220709332,0,0 -2023,NV,0.220577471,0,0 -2024,NV,0.261084163,0,0 -2025,NV,0.291710789,0,0 -2026,NV,0.291842842,0,0 -2027,NV,0.36363813,0,0 -2028,NV,0.363774074,0,0 -2029,NV,0.363892466,0,0 -2030,NV,0.435675577,0,0 -2031,NV,0.435788001,0,0 -2032,NV,0.435907819,0,0 -2033,NV,0.436018244,0,0 -2034,NV,0.436133612,0,0 -2035,NV,0.436258281,0,0 -2036,NV,0.436375902,0,0 -2037,NV,0.436483092,0,0 -2038,NV,0.436578624,0,0 -2039,NV,0.436670289,0,0 -2040,NV,0.436763336,0,0 -2041,NV,0.436872222,0,0 -2042,NV,0.436981222,0,0 -2043,NV,0.437097392,0,0 -2044,NV,0.437207896,0,0 -2045,NV,0.437372051,0,0 -2046,NV,0.437476211,0,0 -2047,NV,0.437589387,0,0 -2048,NV,0.437697139,0,0 -2049,NV,0.437803439,0,0 -2050,NV,0.437919317,0,0 -2010,NY,0.236903267,0,0 -2011,NY,0.248226775,0,0 -2012,NY,0.260907073,0,0 -2013,NY,0.261729682,0,0 -2014,NY,0.273001883,0,0 -2015,NY,0.280411988,0,0 -2016,NY,0.282519051,0,0 -2017,NY,0.291532455,0,0 -2018,NY,0.290315769,0,0 -2019,NY,0.306901745,0,0 -2020,NY,0.340468248,0,0 -2021,NY,0.354417063,0,0 -2022,NY,0.390613187,0,0 -2023,NY,0.43943875,0,0 -2024,NY,0.474903555,0,0 -2025,NY,0.515187901,0,0 -2026,NY,0.552756571,0,0 -2027,NY,0.589948385,0,0 -2028,NY,0.626830923,0,0 -2029,NY,0.663728375,0,0 -2030,NY,0.7,0,0 -2031,NY,0.7,0,0 -2032,NY,0.7,0,0 -2033,NY,0.7,0,0 -2034,NY,0.7,0,0 -2035,NY,0.7,0,0 -2036,NY,0.7,0,0 -2037,NY,0.7,0,0 -2038,NY,0.7,0,0 -2039,NY,0.7,0,0 -2040,NY,0.7,0,0 -2041,NY,0.7,0,0 -2042,NY,0.7,0,0 -2043,NY,0.7,0,0 -2044,NY,0.7,0,0 -2045,NY,0.7,0,0 -2046,NY,0.7,0,0 -2047,NY,0.7,0,0 -2048,NY,0.7,0,0 -2049,NY,0.7,0,0 -2050,NY,0.7,0,0 -2010,OH,0.00433239,8.66E-05,0 -2011,OH,0.008401624,0.000252049,0 -2012,OH,0.01273869,0.000509548,0 -2013,OH,0.017123267,0.000770547,0 -2014,OH,0.021862178,0.001049385,0 -2015,OH,0.021132016,0.001014337,0 -2016,OH,0.019519465,0.000936934,0 -2017,OH,0.026495269,0.001135512,0 -2018,OH,0.032841536,0.001313661,0 -2019,OH,0.043646803,0.001745872,0 -2020,OH,0.046849324,0,0 -2021,OH,0.048368477,0,0 -2022,OH,0.049326192,0,0 -2023,OH,0.052209786,0,0 -2024,OH,0.056778247,0,0 -2025,OH,0.060610023,0,0 -2026,OH,0.063975527,0,0 -2027,OH,0,0,0 -2028,OH,0,0,0 -2029,OH,0,0,0 -2030,OH,0,0,0 -2031,OH,0,0,0 -2032,OH,0,0,0 -2033,OH,0,0,0 -2034,OH,0,0,0 -2035,OH,0,0,0 -2036,OH,0,0,0 -2037,OH,0,0,0 -2038,OH,0,0,0 -2039,OH,0,0,0 -2040,OH,0,0,0 -2041,OH,0,0,0 -2042,OH,0,0,0 -2043,OH,0,0,0 -2044,OH,0,0,0 -2045,OH,0,0,0 -2046,OH,0,0,0 -2047,OH,0,0,0 -2048,OH,0,0,0 -2049,OH,0,0,0 -2050,OH,0,0,0 -2010,OR,0,0,0 -2011,OR,0.035807149,0,0 -2012,OR,0.035434396,0,0 -2013,OR,0.036645918,0,0 -2014,OR,0.036507052,0,0 -2015,OR,0.109396242,0.00025252,0 -2016,OR,0.107861724,0.000252065,0 -2017,OR,0.105786524,0.000238493,0 -2018,OR,0.104461691,0.000241964,0 -2019,OR,0.103672554,0.000236787,0 -2020,OR,0.139872366,0.000233933,0 -2021,OR,0.13856435,0.000220468,0 -2022,OR,0.138561441,0.000223377,0 -2023,OR,0.138557208,0.00022761,0 -2024,OR,0.138557831,0.000226988,0 -2025,OR,0.202639484,0.000223555,0 -2026,OR,0.202642472,0.000220568,0 -2027,OR,0.202644295,0.000218744,0 -2028,OR,0.202646562,0.000216477,0 -2029,OR,0.202648529,0.00021451,0 -2030,OR,0.261984944,0.00021291,0 -2031,OR,0.261986276,0.000211577,0 -2032,OR,0.26198788,0.000209973,0 -2033,OR,0.261989438,0.000208416,0 -2034,OR,0.261991238,0.000206615,0 -2035,OR,0.329391372,0.00020475,0 -2036,OR,0.329393421,0.000202701,0 -2037,OR,0.329395408,0.000200714,0 -2038,OR,0.329397383,0.000198739,0 -2039,OR,0.329399383,0.000196739,0 -2040,OR,0.360843677,0.00019483,0 -2041,OR,0.360845485,0.000193022,0 -2042,OR,0.360847142,0.000191365,0 -2043,OR,0.360848571,0.000189936,0 -2044,OR,0.360849891,0.000188616,0 -2045,OR,0.360851965,0.000186542,0 -2046,OR,0.36085343,0.000185077,0 -2047,OR,0.360855061,0.000183447,0 -2048,OR,0.360856603,0.000181904,0 -2049,OR,0.360858281,0.000180226,0 -2050,OR,0.36086014,0.000178367,0 -2010,PA,0.003136563,1.51E-05,0 -2011,PA,0.029190038,0.000197519,0 -2012,PA,0.034920688,0.000324264,0 -2013,PA,0.03864926,0.000492778,0 -2014,PA,0.04381077,0.000817801,0 -2015,PA,0.048906988,0.001408521,0 -2016,PA,0.054031407,0.002455973,0 -2017,PA,0.059483593,0.002907756,0 -2018,PA,0.060821577,0.003181436,0 -2019,PA,0.06979307,0.003888471,0 -2020,PA,0.07562852,0.00447015,0 -2021,PA,0.076113764,0.00475711,0 -2022,PA,0.077282683,0.004830168,0 -2023,PA,0.079220199,0.004951262,0 -2024,PA,0.077750057,0.004859379,0 -2025,PA,0.07810129,0.004881331,0 -2026,PA,0.0777326,0.004858288,0 -2027,PA,0.07769085,0.004855678,0 -2028,PA,0.077623729,0.004851483,0 -2029,PA,0.077688654,0.004855541,0 -2030,PA,0.077701842,0.004856365,0 -2031,PA,0.077690347,0.004855647,0 -2032,PA,0.077679749,0.004854984,0 -2033,PA,0.077701694,0.004856356,0 -2034,PA,0.077684384,0.004855274,0 -2035,PA,0.077598799,0.004849925,0 -2036,PA,0.0775798,0.004848737,0 -2037,PA,0.077508885,0.004844305,0 -2038,PA,0.077617139,0.004851071,0 -2039,PA,0.077686575,0.004855411,0 -2040,PA,0.077593586,0.004849599,0 -2041,PA,0.077531829,0.004845739,0 -2042,PA,0.077484223,0.004842764,0 -2043,PA,0.077478597,0.004842412,0 -2044,PA,0.077454156,0.004840885,0 -2045,PA,0.077414173,0.004838386,0 -2046,PA,0.077403631,0.004837727,0 -2047,PA,0.077344703,0.004834044,0 -2048,PA,0.077347114,0.004834195,0 -2049,PA,0.077289787,0.004830612,0 -2050,PA,0.077178782,0.004823674,0 -2010,RI,0.044690837,0,0 -2011,RI,0.054616899,0,0 -2012,RI,0.064536857,0,0 -2013,RI,0.074439904,0,0 -2014,RI,0.084367652,0,0 -2015,RI,0.084373794,0,0 -2016,RI,0.099241375,0,0 -2017,RI,0.114125447,0,0 -2018,RI,0.128970675,0,0 -2019,RI,0.143496224,0,0 -2020,RI,0.158236256,0,0 -2021,RI,0.172898274,0,0 -2022,RI,0.187718126,0,0 -2023,RI,0.227237732,0,0 -2024,RI,0.276637239,0,0 -2025,RI,0.335916647,0,0 -2026,RI,0.405075957,0,0 -2027,RI,0.474235267,0,0 -2028,RI,0.548334527,0,0 -2029,RI,0.627373738,0,0 -2030,RI,0.7113529,0,0 -2031,RI,0.800272013,0,0 -2032,RI,0.894131076,0,0 -2033,RI,0.987990139,0,0 -2034,RI,0.987990139,0,0 -2035,RI,0.987990139,0,0 -2036,RI,0.987990139,0,0 -2037,RI,0.987990139,0,0 -2038,RI,0.987990139,0,0 -2039,RI,0.987990139,0,0 -2040,RI,0.987990139,0,0 -2041,RI,0.987990139,0,0 -2042,RI,0.987990139,0,0 -2043,RI,0.987990139,0,0 -2044,RI,0.987990139,0,0 -2045,RI,0.987990139,0,0 -2046,RI,0.987990139,0,0 -2047,RI,0.987990139,0,0 -2048,RI,0.987990139,0,0 -2049,RI,0.987990139,0,0 -2050,RI,0.987990139,0,0 -2010,TX,0.024404891,0,0 -2011,TX,0.030314852,0,0 -2012,TX,0.032965357,0,0 -2013,TX,0.03916363,0,0 -2014,TX,0.039964718,0,0 -2015,TX,0.044405405,0,0 -2016,TX,0.045252461,0,0 -2017,TX,0.044890045,0,0 -2018,TX,0.042506212,0,0 -2019,TX,0.042018645,0,0 -2020,TX,0.042262779,0,0 -2021,TX,0.041412474,0,0 -2022,TX,0.040065438,0,0 -2023,TX,0.040996045,0,0 -2024,TX,0.040054064,0,0 -2025,TX,0.039919281,0,0 -2026,TX,0.039583391,0,0 -2027,TX,0.039241182,0,0 -2028,TX,0.038765286,0,0 -2029,TX,0.038401396,0,0 -2030,TX,0.038183251,0,0 -2031,TX,0.037944901,0,0 -2032,TX,0.037608674,0,0 -2033,TX,0.037360272,0,0 -2034,TX,0.037097636,0,0 -2035,TX,0.036817392,0,0 -2036,TX,0.036539544,0,0 -2037,TX,0.036217899,0,0 -2038,TX,0.035896095,0,0 -2039,TX,0.035587476,0,0 -2040,TX,0.035275782,0,0 -2041,TX,0.034994872,0,0 -2042,TX,0.034747217,0,0 -2043,TX,0.034497809,0,0 -2044,TX,0.034247088,0,0 -2045,TX,0.03394868,0,0 -2046,TX,0.033594211,0,0 -2047,TX,0.033236601,0,0 -2048,TX,0.032918904,0,0 -2049,TX,0.032641244,0,0 -2050,TX,0.032286934,0,0 -2010,voluntary,0.009880578,0,0 -2011,voluntary,0.011947157,0,0 -2012,voluntary,0.014615728,0,0 -2013,voluntary,0.017181817,0,0 -2014,voluntary,0.018806279,0,0 -2015,voluntary,0.022213402,0,0 -2016,voluntary,0.024771014,0,0 -2017,voluntary,0.029623812,0,0 -2018,voluntary,0.035914319,0,0 -2019,voluntary,0.042952914,0,0 -2020,voluntary,0.051672094,0,0 -2021,voluntary,0.053296556,0,0 -2022,voluntary,0.054921019,0,0 -2023,voluntary,0.056545481,0,0 -2024,voluntary,0.058169944,0,0 -2025,voluntary,0.059794406,0,0 -2026,voluntary,0.061418869,0,0 -2027,voluntary,0.063043331,0,0 -2028,voluntary,0.064667794,0,0 -2029,voluntary,0.066292256,0,0 -2030,voluntary,0.067916719,0,0 -2031,voluntary,0.069541181,0,0 -2032,voluntary,0.071165644,0,0 -2033,voluntary,0.072790106,0,0 -2034,voluntary,0.074414569,0,0 -2035,voluntary,0.076039031,0,0 -2036,voluntary,0.077663493,0,0 -2037,voluntary,0.079287956,0,0 -2038,voluntary,0.080912418,0,0 -2039,voluntary,0.082536881,0,0 -2040,voluntary,0.084161343,0,0 -2041,voluntary,0.085785806,0,0 -2042,voluntary,0.087410268,0,0 -2043,voluntary,0.089034731,0,0 -2044,voluntary,0.090659193,0,0 -2045,voluntary,0.092283656,0,0 -2046,voluntary,0.093908118,0,0 -2047,voluntary,0.095532581,0,0 -2048,voluntary,0.097157043,0,0 -2049,voluntary,0.098781506,0,0 -2050,voluntary,0.100405968,0,0 -2010,VT,0,0,0 -2011,VT,0,0,0 -2012,VT,0,0,0 -2013,VT,0,0,0 -2014,VT,0,0,0 -2015,VT,0,0,0 -2016,VT,0,0,0 -2017,VT,0.55,0,0 -2018,VT,0.55,0,0 -2019,VT,0.55,0,0 -2020,VT,0.59,0,0 -2021,VT,0.59,0,0 -2022,VT,0.59,0,0 -2023,VT,0.63,0,0 -2024,VT,0.63,0,0 -2025,VT,0.63,0,0 -2026,VT,0.63,0,0 -2027,VT,0.63,0,0 -2028,VT,0.67,0,0 -2029,VT,0.67,0,0 -2030,VT,0.97624,0,0 -2031,VT,0.97912,0,0 -2032,VT,0.97912,0,0 -2033,VT,0.97912,0,0 -2034,VT,0.982,0,0 -2035,VT,1,0,0 -2036,VT,1,0,0 -2037,VT,1,0,0 -2038,VT,1,0,0 -2039,VT,1,0,0 -2040,VT,1,0,0 -2041,VT,1,0,0 -2042,VT,1,0,0 -2043,VT,1,0,0 -2044,VT,1,0,0 -2045,VT,1,0,0 -2046,VT,1,0,0 -2047,VT,1,0,0 -2048,VT,1,0,0 -2049,VT,1,0,0 -2050,VT,1,0,0 -2010,WA,0,0,0 -2011,WA,0,0,0 -2012,WA,0.02403652,0,0 -2013,WA,0.023786192,0,0 -2014,WA,0.024032644,0,0 -2015,WA,0.024398725,0,0 -2016,WA,0.074047246,0,0 -2017,WA,0.071623743,0,0 -2018,WA,0.074545569,0,0 -2019,WA,0.074236195,0,0 -2020,WA,0.128487762,0,0 -2021,WA,0.126836019,0,0 -2022,WA,0.126566883,0,0 -2023,WA,0.132943651,0,0 -2024,WA,0.132882075,0,0 -2025,WA,0.129821978,0,0 -2026,WA,0.129247225,0,0 -2027,WA,0.130029934,0,0 -2028,WA,0.130088087,0,0 -2029,WA,0.130118757,0,0 -2030,WA,0.130415819,0,0 -2031,WA,0.130680642,0,0 -2032,WA,0.13058515,0,0 -2033,WA,0.130520175,0,0 -2034,WA,0.130370456,0,0 -2035,WA,0.130239432,0,0 -2036,WA,0.130084957,0,0 -2037,WA,0.13004791,0,0 -2038,WA,0.130056588,0,0 -2039,WA,0.130024828,0,0 -2040,WA,0.130057505,0,0 -2041,WA,0.130136399,0,0 -2042,WA,0.130255676,0,0 -2043,WA,0.130447629,0,0 -2044,WA,0.130588999,0,0 -2045,WA,0.130090676,0,0 -2046,WA,0.130239369,0,0 -2047,WA,0.130319405,0,0 -2048,WA,0.130309369,0,0 -2049,WA,0.130228643,0,0 -2050,WA,0.130031852,0,0 -2010,WI,0.060422477,0,0 -2011,WI,0.059803478,0,0 -2012,WI,0.059183438,0,0 -2013,WI,0.05965627,0,0 -2014,WI,0.059358264,0,0 -2015,WI,0.100504763,0,0 -2016,WI,0.098951468,0,0 -2017,WI,0.100333528,0,0 -2018,WI,0.097479411,0,0 -2019,WI,0.101105691,0,0 -2020,WI,0.103378704,0,0 -2021,WI,0.099647235,0,0 -2022,WI,0.097950285,0,0 -2023,WI,0.098926306,0,0 -2024,WI,0.100515495,0,0 -2025,WI,0.100067305,0,0 -2026,WI,0.099129715,0,0 -2027,WI,0.098632117,0,0 -2028,WI,0.098738351,0,0 -2029,WI,0.099024873,0,0 -2030,WI,0.099077869,0,0 -2031,WI,0.099104627,0,0 -2032,WI,0.098957227,0,0 -2033,WI,0.098968477,0,0 -2034,WI,0.098920841,0,0 -2035,WI,0.098770891,0,0 -2036,WI,0.098759187,0,0 -2037,WI,0.098822676,0,0 -2038,WI,0.098914331,0,0 -2039,WI,0.099144771,0,0 -2040,WI,0.099291171,0,0 -2041,WI,0.099210297,0,0 -2042,WI,0.098991492,0,0 -2043,WI,0.09879179,0,0 -2044,WI,0.098771844,0,0 -2045,WI,0.098783047,0,0 -2046,WI,0.098738105,0,0 -2047,WI,0.098591907,0,0 -2048,WI,0.098589286,0,0 -2049,WI,0.098587707,0,0 -2050,WI,0.098465887,0,0 +2010,AZ,0.0147000856920383,0.0,0.0 +2011,AZ,0.0175737750355804,0.0,0.0 +2012,AZ,0.0207471408763717,0.0,0.0 +2013,AZ,0.0235084649575674,0.0,0.0 +2014,AZ,0.0262111981790624,0.0,0.0 +2015,AZ,0.0294953222714371,0.0,0.0 +2016,AZ,0.0352425344992445,0.0,0.0 +2017,AZ,0.0410070079168953,0.0,0.0 +2018,AZ,0.046557045225467,0.0,0.0 +2019,AZ,0.0514327763130071,0.0,0.0 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"cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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sWbLEVK9e3YwZM8YYU7jP/P79+5s77rjDNu7GnNlnvb29zf333282btxofvvtN/Pmm2+a+Ph4c+DAAePh4WEmTJhgdu7caX799Vfz9ttvmxMnTpjMzEwTHh5uPvjgA8eysqe9++67ubZX1tJ27jRb6tW3/0yvV9+k7dpVIu1yDuAcUK5cOfP222+b7du3m3Hjxhk3NzfHfpCSkmIiIiLMjTfeaDZv3myWLl1qoqOjzaBBg4wxuX/m2Wnfvr155JFHCtz2mjVrjCTz7bffmri4OMc5Ir9YZW+v6tWrO8rs37/fsR2aN29uVq9ebdatW2datmxpWrdu7ejT/Pnzjaenp3n77bfN1q1bzWuvvWbc3d3Nd9995yhz7ufZ888/b1atWmV27txpPv/8cxMeHm5efvllY4wxqamp5tFHHzUNGjRwxCc1NbVA58JZs2YZLy8v8/7775s///zTPPnkkyYwMDDHvmuMMVu2bDGSzK48PiP69+9vqlataubPn2927Nhhvv32WzNz5kxjTN7nzTfffNNUq1Ytx99ib775pomMjDSnT592aufcvx8BAACKG4liAABK0bl/6KekZRQqAVycr5S0/L+Ey9a+fXvTuHHjHNMkmfvuuy/HtCuvvNLcf//9xhhjHnroIdOxY8dCJaSz9ezZ0/Fl2dntDRs2LN+6Q4cONX369HG8j4iIME8++WSu5e2+aD/3y86IiAjz4osv5ijTokULM3ToUGPMv1+enf0F+u+//24kOb6Yy8vAgQNN586dc0wbNWqUqV+/vuP92YnixYsXG3d3d7N3717H/G+++SbPRHFSUpLx9vZ2JIbPldf2Sk9PN2FhYeajjz5yTLv55ptNv3798l234nSxJYrPPWaM4bgpzuNm+vTpRpL566+/HNPefvttEx4e7nhftWpVpyTL888/b1q1amWMMebXX381lmWZ+Ph4c+zYMePp6WleeOEFx7790ksvmSuvvDLXPixYsMC4u7s7ba+oqChz3XXX5Zg2YMAA061bN8f7s2M4depUU7du3RzLSUtLM76+vmbx4sXGmLy3ydKlS01QUJA5depUjuk1a9Z0JPFGjBhh/vOf/xhjjJk0aZLp27evadq0qfnqq6+MMcbUqVPHvPPOO8YY50Rxjx49zODBg23bLkjfz2WXKM5vWw4aNMj07Nmz0G0PGjTIhIeHOyVZ8ttGS5YsMe7u7mbPnj2O+dn755o1a4wxzvv8uTIzM01gYKD54osvHNPsjp127dqZl156Kce0jz/+2FSuXNkYU7jP/OHDh5sOHTrk2qebb77ZtGnTxnbe+vXr80yMPPzww6Zjx46O94sXLzZeXl7m2LFjubZX1g6Nf81sqd/A/jO9fgNzaPxrJdIu5wDOAbfeeqvjfVZWlqlYsaLjM/a9994zoaGhJjk52VHmq6++Mm5ubo6ks91nnh27RHFebZ/7+Z4tv1hl15s0aVKOMtnb4aeffnJMy/5B6c8//2yMMaZ169bm7rvvzlGvX79+pnv37o73+f3Y8ZVXXjHNmjVzvLf7/C3IubBVq1a2x+C5yzp+/LiRZJYvX27bn61btxpJJjY21nZ+XufNw4cPGw8PD/PDDz84prVq1cqMGjXKtjyJYgAAUNK49TQAACiQ5s2bO01r1aqV0/s//vhD0pnbfW7cuFF169bVww8/rCVLlpRIH6ZMmaLmzZurQoUKCggI0Pvvv689e/ZIkg4fPqwDBw7o2muvLXKbSUlJOnDggNq0aZNjeps2bRzrmu2KK65w/D/7Fq6HDx/Ot40//vjDdvnbt2/X6dOnbctXq1ZNVapUcUw7d1vY1UlLS8s1FnltL09PT/Xr108zZsyQJKWkpOizzz7TLbfcku+6uTK7/VXiuCmu40aS/Pz8VLNmzRz1s+vGx8dr7969uvPOOxUQEOB4vfDCC9qxY4ckqWHDhipfvry+//57rVixQo0aNdINN9yg77//XtKZWyTndVvdkydPytvb2/ZZu3lt53OtX79ef/31lwIDAx39LFeunE6dOqUdO3bku03Wr1+v5ORklS9fPse67ty507GuHTp00IoVK5SVlaXvv/9eHTp0UIcOHfT999/r4MGD2rZtW67rev/992vmzJlq3LixRo8erdWrVxe47wWV17bMTUHbvvzyy+Xl5eVUP69t9Mcff6hq1aqqWrWqY379+vUVEhKS63Y8fPiw7rvvPtWpU0fBwcEKDg5WcnKy49jKaz2ee+65HNvu7rvvVlxcnFJTUwv1me/r66vU1NRc29q4cWOu+1GjRo107bXX6vLLL1e/fv30/vvv53je8S233KLly5frwIEDkqQZM2aoe/fuCg0NzXP9ylLG/v2SMfYzjTkzv4RwDnDtc8DZ62VZlipVquTo2x9//KFGjRrJ398/R2yysrK0devWAq17XvJq205BYpXNbn/y8PDIMf2yyy7L8VmZ23Vubp+l0pnb4Ldt21aVKlVSQECAnn766QJ9luZ3Lvzjjz9sj8Fz+fr6SlKun6cbN26Uu7t7kc6bFSpUUOfOnR3X1Tt37tSPP/7IdTUAACgzHmXdAQAAXJmvp7u2PNc133JbDiSp75SCP+927n2tVD8iKN+2C+PsL7Pykv1lWdOmTbVz50598803+vbbb9W/f3916tRJc+fOLVS7efVh9uzZGj58uF577TW1atVKgYGBevXVV/Xzzz9L+vdLnuJw7peAxhinaZ6enk7lswrwTFu7ZZncvtjOZZ7dl5Rnyy8W+W2vW265Re3bt9fhw4cVGxsrHx8fdevWLc9lurqCHjMSx8255Qty3JxbN7t+9vGRvYz3339fV155ZY5y7u7ujvJXX321li9fLi8vL3Xo0EENGzbU6dOntXnzZq1evTrHsx/PFRYWptTUVKWnp9smIs+V23GalZWlZs2aOb40PluFChXk5pb373uzsrJUuXJl22dYhoSESJKuvvpqnThxQr/88otWrFih559/XlWrVtVLL72kxo0bq2LFiqpXr57t8rt166bdu3frq6++0rfffqtrr71WDzzwgMaPH59v3wsqr22Zm4K2XZRj0W5fzWu6dCbJFx8fr0mTJikqKkre3t5q1aqV0tPT812PsWPH6sYbb3Sa5+PjU6jP/GPHjuUZ97yOb3d3d8XGxmr16tVasmSJ3nzzTT355JP6+eefFR0drZYtW6pmzZqaOXOm7r//fi1YsKBUn1NfFJ6RkVJu50fLOjO/hHAOcO1zgF3fsvuU1+dIftdzBZFX23YKEqtsue3Xdv0+e1pB9oVsP/30k2666SaNHTtWXbt2VXBwsGbOnKnXXnst13XIXo/8zoUFdezYMUm5n8fyO07yOm9KZ66rH3nkEb355pv65JNP1KBBAzVq1KhQfQQAACguJIoBAChDlmXJzyv/07FPIZO6Pp7uBVru+frpp590++2353jfpEkTx/ugoCANGDBAAwYMUN++fXXdddfp2LFjKleuXLG0v2LFCrVu3VpDhw51TDt75ENgYKCqV6+upUuX6pprrrFdhqenp+2o3bPXISIiQitXrtTVV1/tmL569Wq1bNmyGNbizCi1lStX5pi2evVq1alTx+kLuuzye/bs0YEDBxQRESFJ+vHHvH9IULt2bfn6+mrp0qW66667bMvktb1at26tqlWratasWfrmm2/Ur1+/AiXGipN7SIhqr15Vqm3a9eF8cdwUz3GTn/DwcEVGRurvv//Oc5ROhw4d9N5778nLy0vPPfecLMtSu3btNH78eJ08edJpFNTZGjduLEnasmWL4//ZfvrpJ6f3l112me1ymjZtqlmzZqlixYoKCrL/kU9e26Rp06Y6ePCgPDw8VL16ddv6wcHBaty4sd566y1ZlqX69esrIiJCGzZs0JdffpnnqDnpzJfld9xxh+644w61a9dOo0aN0vjx4wvU9+Lg5eXltM+db9t5baPsz9m9e/c6RhVv2bJFx48fzzWhvmLFCk2ePFndu3eXJO3du1dHjhzJUcbu2GnatKm2bt2qWrVq2S63MJ/5v/32mzp06JDrOl9xxRVaunSpxo4dazvfsiy1adNGbdq00TPPPKOoqCgtWLBAI0aMkCQNHDhQM2bMUJUqVeTm5qbrr78+17YuBCF9btTRqVPtZxqjkL59SrdD4hzgKueAvNSvX18ffvihUlJSHInXVatWyc3NTXXq1JFk/5lXHLKv3c5edkFjlZvMzEytW7fOsW23bt2qxMREx+dpvXr1tHLlyhz7/erVq3P9LF21apWioqL05JNPOqbt3r3baT3sPkvzOxfWq1fP9hg812+//SZPT081aNDAdjmXX3654w4dnTp1si2T23lTknr16qV7771XixYt0ieffKLbbrvNdhkAAAClgUQxAAAosjlz5qh58+Zq27atZsyYoTVr1mjqP1/ITpw4UZUrV1bjxo3l5uamOXPmqFKlSoX+RX9eatWqpY8++kiLFy9WdHS0Pv74Y61du1bR0dGOMmPGjNF9992nihUrqlu3bjpx4oRWrVqlhx56SNK/yZc2bdrI29vb9haao0aN0rPPPquaNWuqcePGmj59ujZu3Gg7iq0oHn30UbVo0ULPP/+8BgwYoB9//FFvvfWWJk+ebFu+U6dOqlu3rm6//Xa99tprSkpKyvFlWrZrr71WvXv31oMPPigfHx/997//1ejRo+Xl5aU2bdooPj5ev//+u+688858t5dlWRo4cKCmTJmibdu2admyZcWy7oVhubnJo5i+KC9LHDfFc9wUxJgxY/Twww8rKChI3bp1U1pamtatW6eEhARH4qtDhw565JFH5OHhoXbt2jmmPfroo2ratGmeCcgKFSqoadOmWrlypVOSYNWqVXrllVfUq1cvxcbGas6cOfrqq69sl3PLLbfo1VdfVc+ePfXcc8+pSpUq2rNnj+bPn69Ro0apSpUqeW6TTp06qVWrVurVq5defvll1a1bVwcOHNDXX3+tXr16OW4J2qFDB73++uvq3bu3LMtSaGi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ZMUApyYkqqTf0n+/3yVXvaVyW+uBZI6YMzTzuMuUnpevRn5ykEdn9tKnEoyte/0Z9qkv1l8UzbWe3mDJ0/Vm3qTA+Ve9cfYIO7xOn73cW6VevLFdmRaF+v+I129VUDElOn7edsgIAANB1LMg+UZdt+sR2pq4kvTzyPH8TNjbOEtvWJZ1DFenrAQAAhIpGcScIddZtsDODDdOnxPJSFa/4Sr29ZTI2bNMvv1mlweV7dFzh5v0N2ObXuHTr/6St//N/s1oqlH+fvfNbGJex/+uBL15WvQw5vh6knUccprL+WTptq0c7e/fXzt791aemrNk4PxpygkzDoeyy3Rpalq+S336oml3b5di2Xc/67PfYayufDMXW85AUAAAE56r18zSwutj2Zw2N27tOu0H5Sen64OYcZWWlqNhdqmf2z1JZkz484KyRxtVYDjtCcVkpkrtUZXGbVRaX2OJsk53JA/1xqWlyZaRIvgTlJucqNzmjSZzkMJs3jC/eskRfDjhSUk6H5QsAACDSQp2pG+klnVlCGgAAdCc0itsgnGWWw5l129SkbUt10zfv7v/O3/WdummRSmMTleipkcusl+ZLbvkbvheG8H7CESNTcu9UhXunHJLuaPKzgxcAmrppUfPZLhukOoW3nGLQDMO/JBEAAEArjEULNKXpKiby1zM+GS0+fGwq1Fkj7Rl3eHGujincooad9Rwy9dsv/y7tOVfKSgkmBQAAAN1CKLVTpJd0ZglpAADQndAoDlO4yywHOzs4wVOjwfv2qGTOPhm523T/sq80rDRP/WrKbK+RWlfZbu+tvbRnA9iUVBqbqK0pmTrumEOUPiRThbFJ+r+VhXKYPt266m3b5RoN09T87JPacSQAAKAnqvnuOxmPPdjsmEcOfTr4ODl9vhYfPoY7a6Qj4i7buEhXr5/XGJdSVyXHjN/L989/yBHLbBUAANB9tWWmbqSXdGYJaQAA0F3QKJZ1ZrDX69XOCmldXpmczgMpavopv2AbvpJU6/WpuLLOUiBO2rZMN30zd/+eKgdmB5e74pXsqfaf9Jn/l45qdZqSymITlJ/YV4cPG6DeaSkqM1yat6VUMfX1mrhjReNS001jpPafCVwY11t9a8str92wzOP0M25uXOZxQFaK9rpLtWjPksbzgl1yCAAAoClvcbF23XSzjNraZsdnHXep/jv0FNuYpg8fw5010iFx5mky/1AhY+lnjYd869dqz8MPK+Pee1u9DgAAQFdlVwN5vV4tWbJEOTk5AZ/hAQAAILCobxQHnhns1GNrljc70nRmcFPjc1do2qp3ZDY2KaXLNn2ifx2So9yUDKXWlst4ZoV21ZTJ4d6jF7buUp/qUiXW2z8UbGwSh8l0uRSbmaG6Pv21sEiqiYnV+duW2jZ8TRm69YxbGhuwg7NStNZdqr/s32dvfd9hARuwSzOP1qCKAs08OUX99uWpcN33yv/2O2VUFrXYRK51OLW+7zAde/rxyhw9Uu6UDE2dv0dVrl46O3dlWA3fcJdrBAAA0c30euWePl0et7vZcd/5l+imW2/XTQHiDn74GO6skY6Iq3/yMW2bMkWe3B2Nx0re/KcSjjtOKRddFPK1AAAAuoqDayCPx6PcJGlkZrJcLlcnjgwAAKB7ivpGcTgzgzOTXNKuHTo5f52OKtqmyzYv9jdGzf1zbff/cunW/x240HqpXP5G7eAOeB8+Gfp48PF6eeT5+vttE3Xo4DStdZdq5v6G76bUwR3SgN2YNkTmxBz1z0pRgbtU1zy9RNesfV+XbP7Mv3/xQeoNQ/8afoZeGXmuPvhVjtKyUuR2l6pqUWlQ12uqLUsOAQAASFLB4zNVtaz5hwPjR49W9kP3yeimSzXH9O6tQU89pe2X/0hmTU3j8fx771PcEUeo1+GHd+LoAAAAAAAA0FVEfaO4qUAzg+dnn6jSuCQNLi+Q4+tntCHfrRiPR/d18HjqDYccgwZL2UP1ZoFL5bHxum7tB7Z78UrSm4ePV0mv3pLDYXmtSDZg/zP0FF26+bP9S2o3H6dhyrJncLjXC3e5RgAAAEkq/eBD7Xv55WbHnP37K+vJJ7ptk7hBr8MPV8b99ynvt3c2HjNrarTrlls0bPZsxfTu3YmjAwAAAAAAQFdAo3i/zIq9mrbqHTlkWmYGT8pdEdGx+GRoQfaJmnXMpXp32jhJ0uv7ZwZXuBKCnhncng3YUPZ8yUvqp5mjpwY9zrY0fMNdrhEAAES3mu++U/7vf9/8oNOpQU89KVf//p0zqHaWctFFqlq1SiX/fKvxmCd3h/LuukuDnn5ahtHSZiEAAAAAAADo6WgU7zchd6Vks1RyW5iSSuKStDl1kE44brj6DcnUXleSHl2xVzE+r27/+q2As4PfHnGWPDHW/3tCmRncng3YUPd8CXXPYBq+AAAgUrzFxdp1083NlmWWpIF/uEfxxx3XOYPqIAPuvls169arZs2axmMVH32sfS+9pL7XXtuJIwMAAAAAAEBno1G834CqfSHHlMQmqiAhTSNKdkmyLrNsytBtp9+k/KR0fXDzgX18P8vzzw6OMc2gZt22ZSnoSDZg2TMYAAB0Fe6SasvqKDsrpHU79yn297fLcLubnZ96+eVKmzo10sPscI7YWA168gltu3Sy6ktKGo/veXym8gceIu/Rx/rzklfW4qoxB+czkJ4S13i/dKG8kJOuGUde7OOCyUtnjzHScdwr9nHkJfycAAAAAO2BRvF+exL67J/ba51VbErKS+yrpRlHa/LFp2nY8SO1tVdf/fg1/8yMs3NXBr3MclPBzrrtLnvxdpdxAgCAns1dUq2zHlvc+OG1A5wqefNeTd78ZbOjMUcfq4G/uztyA4wwV2amMh97TDuvu65xixXD51PZ736rm8fdqqL4FD22ZnmzmDinQ4tuH6es1PgW8mnVs+KcXSYvkshJl44jL6HmReoq93Sk47hXyEvzOCnQn4WWcwIAAAC0l7AaxbNmzdKf//xn5efna+TIkXriiSd0+umnBzz/008/1fTp07Vu3TplZmbqN7/5jW644YawB90RFmSfqMs2fSJT9jOD7xl7nfKT0nXppBwlZKVI7tLGc0JZZrkt+wZ3h38MdJdxAgCAnqu4sq7ZA9fMir2akLtSRxdu0VHFuc3OLeyVrLR7HpQR27NXOknKOU2+n10nxysvNB5Lq63QzE+f0vq+Q7U7oa8WZJ+ovKR+kqRar0/FlXXKSo0PmM+Gupe4jo9r+H1XHiNxxIUS1/D7rjxG4oiLRFzD70O9FgAAANBeQm4Uv/XWW5o2bZpmzZql0047Tc8//7wmTZqk9evXa8iQIZbzt23bpnPPPVfXXXed/v73v+vzzz/XjTfeqH79+mny5Mnt8ibaQ15SP80cPTXomcFtafgy6xYAACAyxueu0LRV78iU5Dho5RiPI0YPnvQzPdY38AowPYn5k59rxX8+00l7NjQe61dTqtPd38g0HLps0yeaOXqqPso+MeBrNOazSb1MXGTjusMYiSOOe5o44iL3ZwEAAABoC8M0Tetayy04+eSTdfzxx+vZZ59tPHbkkUfq4osv1sMPP2w5/7e//a3ee+89fffdd43HbrjhBn3zzTdatmxZUNcsKytTSkqKSktLlZycHMpwW7XWXarzn17S+H1GRWGLM4M/uDlHo7JSJIW/Z0135PF4NG/ePJ177rlyuVydPZwug7zYIy9W5MQeebFHXqzIib1I56W9a7KOqvEa6rvMir168aM/WRrEDf525CS9ffgPm9V3Pdlad6l+9H8LNGvRY+pXU2b5eUOWSmKT5HM41CcxVi6HIY/P1L7KOjl89Uqtq2y2+g5xkYmT1OXHSBxx3NPEEdcxfxZMGbr27N8qPym9Q2qW7lLfBcK/E+yRFytyYo+82CMvVuTEHnmxR16suvIzvJBmFNfV1emrr77SnXfe2ez4hAkTtHTpUtuYZcuWacKECc2OTZw4US+99JI8Ho9tQmpra1VbW9v4fVmZ/0GWx+ORx+MJZcit6h1rhDQzuHes0TiG/olO9U8MLoXtPe5Iaxh/d38f7Y282CMvVuTEHnmxR16syIm9SOelrdeJVI3n9XolSRNyVx6YlXMQn6QEb23j+dFwb3m9XlXEJmhV/8M0fseXlofRDd+n1VX4f1Mjefcf79vC6xLX8XHqBmMkjrhQ4tQNxkgccZGIUxAxPsPQxNwVemXkuR1Ss3SX+i4Q/p1gj7xYkRN75MUeebEiJ/bIiz3yYtWVn+GF1CguLCxUfX29BgwY0Oz4gAEDtHv3btuY3bt3257v9XpVWFiojIwMS8zDDz+s+++/33J8wYIFSkhICGXIQbnzGKkyiJwluqTVSz/R6nYfQfexcOHCzh5Cl0Re7JEXK3Jij7zYIy9W5MRepPJSVVXVpvhI1Xg7KyTJqQFV+2QEWDzHlKEBVfskSUuWLFFuUrtdvstqyEtsvVemDjywBgAAXZhpdmjN0l3qu9bw7wR75MWKnNgjL/bIixU5sUde7JEXq674DC/kPYolyTCaP1YyTdNyrLXz7Y43uOuuuzR9+vTG78vKyjR48GBNmDAhYsvWLFy4UOPHj2da/H7kxB55sUderMiJPfJij7xYkRN7kc5LwwyRcEWqxluXV6bH1izXnoQ+AWcUyzC0J6GPJCknJ0cjMzu+xuxszfPikExfZw8JAAC0poNrlu5S3wXCvxPskRcrcmKPvNgjL1bkxB55sUderLryM7yQGsXp6emKiYmxzB4uKCiwzBpuMHDgQNvznU6n+va1X2AnLi5OcXFxluMulyuiN1Wkr9cdkBN75MUeebEiJ/bIiz3yYkVO7EUqL229RqRqPKfTX+IuyD5Rl236xDJ71pRkmKbmZ5/UeH403FfB5MWUocdHT9W++BT98aKRGpqeqO2Flbrn3+vUt7pUt656W4ZM4iIcJ6nLj5E44riniSOuY/4sdHTN0l3qu9bw7wR75MWKnNgjL/bIixU5sUde7JEXq674DC+kRnFsbKxOOOE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8UiFxcdb5p6TUNKftGEbN8wAAAAAAAM2QXLKn3iaxR9KXKScHeEYAgPaIRjEAtLD67hUjOTVz/SqfkXCnQ0vuGKWU+MgG4qwCGecwPTqmLFfPnOxU2E8/qmTdOpm7d8tx2KPZ7Cs6WuHHHquKjIx6G7595r6osLQ0y1NV27dr67nn2cdJSvrfG2zj4i/5nfLnzrWfkGkq/tJLbJ8KdBwAAAAAAEBjGKZHd619w7ZJLEmm4dC4zNWaN+DcgM4LAND+0CgGgBZW914xDal0e1RQVqWU+Mg2Exfl+v/s3XecFPX9x/H37O31Xmh3wFFVikhX4SJoBMUeCyYaY48GowGiiab81MRYohETW+wlicaeqCEBFFAREURQOkc74Bpc73e7t/P7Y++O25u5stfL6/l48ICdnc/Mdz8M8GE+O99vhY7PP6ixufs1Nu+ATsg/qDB3pSo+kipadJZjssJi1f/U6Ro0c7rCJk9W8OjRMgICVPDue8r8zW8kw5Dp8chwOCTT1KD77rNt9kpS0LBhGnTffXVxMs26n3tDHAAAAAAAQLM8Ht26+R2NLmxiaSvT1ICyvM4bEwCgx6JRDAB9mWmqf3m+xuYe0Ni8Axqbe0DDijIVIPundptSbTi0JzpJO+KGaVv8MG2PG6a80Gh9eGuK4pJ8p2iOufh7CpsyWblvvqWDX32loVOnKn7+Zc02UWvjCt5+R670dAUmJSnm0kt6TRwAAAAAAEBjTLdbxh9/r3lpXza9o2EoOyyucwYFAOjRaBQDQBfLLa1UdlGFcksrOzwuwFOtws3fKO0/e+T6coP+tvFrJVQU+TtkSVJxYKh2xiVre9wwbYsbpt2xQ1TpDG5xfFByshIW/kzrly7V5HPOUWBgYIvj7NYU7i1xAAAAAAAADZkul9Lv+IUcK/7nu13ymYLalGSYppYlT+/M4QEAeigaxQDQxa5+cUOHxYVXlWtM/oG6J4aPzz+okPddKpMUUvOjpTLC47U9bpi2xw/XtrhhOhTZX6bRmpWKAQAAAAAA0FKeqiqlL1qsko8/9tnuliGHJE+9pa8M09SSSfOVGZHQNYMFAPQoNIoBoIsFGJJhGDJNU9V+zPhsiTNNDSrLrWsKj8k7oOSibDlaMY20ywjQnpjB2l4zhfSOuGQVhUa1apwAAAAAAABoHU9FhQ7feptKP/vMZ3ulw6n7Tr5a6eH9dFbaeg0oy1N2WJyWJU+nSQwAaDEaxQDQxf790xSNT4rW1vRCnff4mpbH3XSyRhYc1r5Va7X2/dUam3dAcZXFrRpDYVCYdsR5m8Lb44YpNXaIqgJ8p4L+sJXjBAAAAAAAgP88ZWU6tOAWla1b57O9IiBQ955ynTb3Gy1JenncObbxwU6HYsODOnycAICei0YxAPQQkVWlGpt7QGPy0jQ2b78cS3+tA1WVckhK8fNYQcOHq+L4cfpzVqi2xw/X4Yh+kmE0HwgAAAAAAIAOV11SokM/vknlX3/ts90VHKrYJY/rvuPHN3uM2PAgJcWEdtQQAQC9AI1iAGhnptkO8zKbppJKjmpsnnca6bG5BzS05EirDlXlcCq1ZhrpbXHD9dtfXq6RY5O1Nb1Qy3kyGAAAAAAAoEukF5Qrv7TK+kZxkRx3LpSxc7vPZndYhEa/9LxCTzqpk0YIAOjtaBQDQDv727o0v2M8lZXS1m90aeqqujWGo6tKW3X+gqBwbY8fru1xw7Qtfpj2Rg+WK6DeX/fRMa06LgAAAAAAANpHekG5znhktSrdHklSYslRzU3boMElRzQ274BiK0t89ndHRGnUKy8qdNy4rhguAKCXolEMAO3o6dV79eZXh3221Rb6A8rylB0Wp+XJ01QaGKKxuWk6seCAgha+qt07dyjA5dL1rTinY/gI/U/9tSU2WdvjhkmmqbkHv9KogsOKrCpTUVC4MiL6SfJdmyY2PEjBToflPyT1x9mecQAAAAAAAPDKL62qu7cyJ229Fm56S6YhOUxTDRcHyw+OUNRjT9MkBgC0OxrFANBOXv3igB76305J0k9mj9S5Jw6S8b8PZfzpYe8OHo9kGJqfutKn4K/24xym0ymNO1HBEyep/6nTFDZxogJiYhRRUK7vllbVnO9+SYYkU5Kh+XtXy/z5r2SefZ7P2jRJMaFaefts5dfFPdyhcQAAAAAAAPCVWHJUCze9JYdM762VBvKCIvTLlAX66/CRnT84AECvR6MYANrB2xsP6//+vU2SdOvsEbpluENF77yq3Kee8t2xjesXGx6PRv7xAQUlJ/tsT4oJVb+CbO390/3ehnTDuD/dr5FnpigopmvjAAAAAAAAcMzctA2NvmdK+iJxvA5H9u+8AQEA+hRHVw8AAHq6/24+rL8+v1QX7flUz6W+qfPvuU77L7zQ2iRujmEo+PjjFTxmjORo5K9nw1DB2+/YvlXwzruS0XByou4XBwAAAAAAACnMVa5Z6Zu8TxPb8MhQuKuik0cFAOhLeKIYQJulF5Qrv7Sq7rXb7dahEmlbRpGczmN/zTSchrhhXGPqx7Umpt3jqt1S6m4Z325S4bovlbD9Wz1er2hv8VTSAQEKmzZNYZMnKXTSZIVOPEkBkZFKX/xzVe7aZR9jmnKlp9u+5UpPb/yJ5W4UBwAAAAAA0Od9u1lPrXxUA8rzG9/HMJQdFtd5YwIA9Dk0igG0SXpBuc54ZLUq3Q2nH3bqkS3rfLYEOx1aeftsJcWENhFnVRsnye+Y1p6rfpy7yqXRBYd0Ys4+nZizV+PyDijMXSlJim32iI1wOBR3zTUacMftlrcCk5KafFI3MCnJ9q2eEgcAAAAAANBXmVVVOvrEk3I895wGNLFEmSnJME0tS57eeYMDAPQ5rZp6+qmnntLw4cMVEhKiKVOm6LPPPmt033fffVdz5sxRv379FBUVpVNPPVXLli1r9YABdC/5pVUtasBKUqXbU/d0bmviOu1c+SUq++orFTzzV/3fJ0/r7f/8Rks+fULXbV+qaUd21TWJm+Ps3/T6MbHzL7PdHnPJxU0+qRtz6SU9Og4AAAAAAKAvqty3Twe+/wPlPvusjAb3VEx5p5qulqFqwyFThpZMmq/MiISuGSwAoE/w+4niN954QwsXLtRTTz2lmTNn6plnntG8efO0fft2DR061LL/p59+qjlz5uj+++9XTEyMXnrpJZ1//vn68ssvNWnSpHb5EADQFkHVLp2Ql6YTc/bqxNx9ciz9tdKqKuWQNNmP45iJgxVz6nSFTZum8GnTFJiUpIJ331Pmb34jGYZMj0eGwyGZpgbdd5+CkpPtxzNsmAbdd19dnEyz7ufeEAcAAAAAANCbNLvkmWnKeP8dOZ55XKq0PoDwbfwI/W3MXE3N3q0BZXnKDovTsuTpNIkBAB3O70bxo48+quuvv1433HCDJOmxxx7TsmXL9PTTT+uBBx6w7P/YY4/5vL7//vv173//Wx988AGNYqAPen9zur46kKeMgnK/49rrXMHuSo2t1xg+Pv+gAj0tXlm4zqGIftqSMFJb4kdoS8JIvfKLc5WYFO2zT8zF31PYlMnKffMtHfzqKw2dOlXx8y9rtolaG1fw9jtypacrMClJMZde0mviAAAAAAAAeoPmljyLrSjSok1valr2Tst7LiNAr449W++OmiWP4dDWhFEdPVwAAHz41SiuqqrSxo0bdeedd/psnzt3rtauXduiY3g8HhUXFysuLq7RfSorK1VZ75tVRUVFkiSXyyWXy+XPkFul9hydca6egpzYIy+S2+32a/9nP9vfqvO0Jq42JsxVoal5+2vWGN6n0QWH5DRbNhV1fQciB3gbwwkjtDV+hPJDonzed7vdtteCkZio6FsWKGvFCp04Z46MwMAWXTNGYqJib7vVZ1tviqu/X1/+M2SHvFiRE3udnZe2nqcrazyuIXvkxR55sSIn9siLPfJiRU7skRcr6jv/cA3ZIy9WHZmTo4VlPk3ixJKjmpu2QQPK8uT0VOuknD2KdFkfmDCSh+kXoy7WzsjEZs8R7HQoMsho9/FzrdgjL1bkxB55sUderLpzjWeYZmMLTFplZGQoKSlJn3/+uWbMmFG3/f7779crr7yiXbt2NXuMhx9+WA8++KB27Nih/o2s33nPPffo3nvvtWx/7bXXFBYW1tLhAugEh0qkR7a0/Dsnx0d7FOaUytzSrsKWL5N+fLS34G5JTHhVucbn7tNpxXt13JF9SsxNl6Plf9VJ8q4Jkxk7UBtiR2pLwkhtix+uwuCIJmNuP9GtIU3vAgA9WllZma644goVFhYqKiqq+YAGqPEAAAC6F+o7oO3q3xubk7ZeCze9JdOQDNNUY3ex8mfMUM4585TrCVRpC+7lhwdKccHtN2YAQO/mT43Xqkbx2rVrdeqpp9Zt/8Mf/qC//e1v2rnTOn1Gfa+//rpuuOEG/fvf/9aZZ57Z6H5230YcMmSIcnJyWlW0+svlcmnFihWaM2eOAgMDO/x8PQE5sUdepG0ZRbro6XUt3v9fPzlF4xKjWhUnyTYmsqpU43P2a0LOXp2Yu1fDCzPlkH+N4WoZ2huTpC3xI3TBVefouDNTtLPU/nxNjXFcov3fUVwr9siLPfJiRU7sdXZeioqKlJCQ0OobiV1Z43EN2SMv9siLFTmxR17skRcrcmKPvFhR3/mHa8geebFqaU4yCsqVX9Z85zY2LFCJMaGSjt0bG1aQoSdXL2nynlRecKQi/u8ejb1gjv8fogNwrdgjL1bkxB55sUderLpzjefX1NMJCQkKCAhQVlaWz/YjR45owIABTca+8cYbuv766/XWW2812SSWpODgYAUHW78iFRgY2KkXVWefrycgJ/b6cl6cTv+WOnc6nQoMDGxVnDweDSzN1fDCTA0vyqj5OVNJpTl+HUuSqg2HUmMGa0vCCG2JH6lt8cNUFugt8C/6TopCEqLlrCz0e4zNXQd9+VppCnmxR16syIm9zspLW8/RHWo8riF75MUeebEiJ/bIiz3yYkVO7JEXK+o7/3AN2SMvVk3lJL2gXHP//Hmjaw3XF+x06OOFKYo/vFeBy1bpwTUfa3zOviabxIfDE/Tz027Va6fM7Ha/L1wr9siLFTmxR17skRer7ljj+dWpCQoK0pQpU7RixQp973vfq9u+YsUKXXjhhY3Gvf7667ruuuv0+uuv69xzz/XnlAC6uR2Zvs3U+uuwZIfFaXnyNGVE9Gv2OA3jPkuaoOBql4YXZWp4YYYct74i7d+rl8rLWjVOlxGgXXFDtTV+hDLC45VclKX4iiJ55FB6REJdk9ifMbb0swEAAAAAAKB7yy+tanSt4eywOC0fOlVO06OJR/do4tFUFf33tyouLZVD0knNHNsjQ3tiBqsoOLxDPwMAAP7y75E+SYsXL9ZVV12lqVOn6tRTT9Wzzz6rgwcP6uabb5Yk3XXXXUpPT9err74qydsk/tGPfqQ///nPOuWUU+qeRg4NDVV0dHQ7fhQAnW3f0RL97sMdda9r12HxMiUZuix1pdYOGq+9MYMlScY/UpUTFSKjqELf35UmSRpVcFinZm6VZMio+ebl5akr2zS2KodTgSdOUL+UU5U9fKwu/aRIVQGB9daKMSTTlAxDl6Wu0pJJ8/VR8rRGj9faOAAAAAAAAPQsDdcalqT5qStltPJ4pmEoOyyu/QYIAEA78btRfPnllys3N1e/+93vlJmZqfHjx2vp0qVKTk6WJGVmZurgwYN1+z/zzDNyu9265ZZbdMstt9Rtv/rqq/Xyyy+3/RMA6BI5JZW65qUNKq5wy5B0Qu5+Ldr0ZoOC2VtIp2RuVUrmVu+mHdJRSQ5JV1uO6t+6wnbRpqSHplypjUNP0vJfnql+MaGqKiiXsW61EguytXDTW95pgGqXZzdNmZIWbXpT2+KHKy+mv2LDgyRJseFBCnY6FO9nHAAAAAAAALpOekG58kur6l673W4dKvGuJ1x/ObTY8CAlxRybZS6iqkyzD2/Sgm/f897j8vNWVe3uRoNthmlqWfJ0fz8GAAAdzu9GsSQtWLBACxYssH2vYfN39erVrTkFgG6srMqt61/5SgfzyjQyKkB/duyQ44MXW/2tSn+ZQcFSVaXlfIYkORz65XEBivnZmXWFflJMqFbePlsFf35MhsMheapt4gw93y9DMT+b3+Y4AAAAAAAAdI30gnKd8chqm7WGnXpkyzqfLRFGtf5zRpRCt2yS45M1+ueuHQrwsztsDhuhfzuStLnfKCWUF2rBt+/JU29GOsM0tWTSfGVGJLTxkwEA0P5a1SgG0HdVe0zd9vpmbTmYpwuyN+sna1ZIOUc77HyOyEhFzJ6tkOOPU/Dxxyv4+OOV/eBDKv7f/yRPw4Lf27yNLsyxNG2TYkKlwhwVNVLst3ccAAAAAAAAOl9Taw0fCYvV7pghSizN0aSjqRqbu19l77lVJu89noAWHL8iIFCfJp2kM688T8fNO127XMF65vE1de9/3f84nZW2vm5t42XJ02kSAwC6LRrFAFrMNE3d8/425Xy6Ro9v+1AjCtJbHBuYnKzgUaMs2yv37JHr4MFjUzrXFxCg2O9/X/1/vthnc1BSkmQ08vyyYSgwKcl+DJ0cBwAAAAAAgNZrOIV0YxpOIV1rzoH1Wrj5LUmSUfMQQFtmxKuWoX+PSNHL487Vd89MUWD/aMUWlCvY6ahrTmdGJOjlcefYxgc7HSxdBgDoVmgUA35o7fomrS1qu1vcsqXrNPLvz+iK7B3NHtuHw6Ghzz6joJq1zOurOnBAe885175RbJqKufQSy+aYSy5W7gsv2J+rkZiuiAMAAAAAAEDrND6FtFWw06GVt8/23ufKzdHphzZqZvoWzcja6ndjuMoIUKDpXX7MstawpGXJJ/vsX7t0WVsa2gAAdBUaxUAL+bO+Sf3itLVFbXeKi64s1g93Lte8A18qwLQ/bviMGQqdOkU5TzwpGYZMj8e7rq9patB999k2iSUpaNgwDbrvPmX+5jfep3Zr1m9pKq41MV0RBwAAAAAAgNZpagrp7LA4LU+epoyIfgpzlevEzH0qeGidKrZsVMCevfqFH+cxHQ6Fjh+vsvGT9Ku0EG2PG6ZZhzdr0aY3W7zWcFJMKA1gAECPRKMYaKGGxWlTKt0e5ZdWKSkmtEfHBVW7dNHeT3X57pUKc1faHiN49Cj1/8UvFJ6SIsMwFH3uucp98y0d/OorDZ06VfHzL2u2kRpz8fcUNmWyCt5+R670dAUmJSnm0kuajGtNTFfEAQAAAAAAoG3mpK3Xwk1vyaxt3Eqan7pSmWHxGlCeX/dgQ/PP9HqZktLDE/TiuPP0619fqeHHD9bW9EJ9U7PW8EfJ07QtfjhrDQMAej0axUArNfYtxp4usNqt4/PTdGLOPp2V9qUGlBfY7mfGxGrQooWKueRiGfWm3Q5KTlbCwp9p/dKlmnzOOQoMDGzReYOSky1rEXdETFfEAQAAAAAA9GVtWWt4cHG2Fm56Sw6ZlqXLEstyWzUej+HQ54kT9EXieCkisu7crDUMAOhraBQDrWD5FqNh6LLUVVoyab4+Sp7WZGxrG8wd1piuqFDpuh0yPl6jhz5bpRPyDyrI425090qHU++OmqX5f/qVYkcntv38AAAAAAAA6LX8XSbt45/PUr/cDBnLVuu3Xy7TlOyd3iaxH0qcIdodO0QTj6bKkM1aw6apZcnTfWJYaxgA0BfRKAb8lFhy1PotRtOUKWnxpjc0I3OLCoIj9cXC/2h9SIgqjADNL6lWlSNQIwsP64xDX6u2PDUlXZa6Sq8df6Y+SzpJlQGBeuXDrxQVHaEjVaprQrekMf306j2KjwhWbkmlZbz1G8yfJJ2k2KoSnZizTyfm7JXeP6SDnmo5JE1o5rN/NGSKXhk7TzmhMZofFt6OWQUAAAAAAEBv1JK1ht1GgCbm7NHEo6kqOvcPKs7LlUPSjBaew+UIkHPCRPWf/R1ljRqvy5fnyuMI0JlpG1hrGACAJtAoBvw0b/86yeZbjLXfTDw1a3sLjuIb/8NdK/TDXSu8L1Yc236TDLkdAQryuL3Ht2lMp2R8q4LgSFV+E6hKZ6CiA4J0SUCgKgOCNKrgsOYc3FAzOlOGvOu31P8WZUuYNdHfJIxSTmiMn9EAAAAAAABA/Vn6vE/1Sq27V1XLI+nTpIl6bNJ8vbPoDCUkRSsrvVCej1hrGACAlqBRDPhhfM5enXPgCzk66XwBMhXQyDTQtQX0ydk7WnAk/6bnMeU7JU/t88+LNr2pbfHDKaYBAAAAAAD6qNasNxzirtSsQ5v0s2/ernkYwv/zNrxf5T2EoVfHnK1K57H1gllrGACAlqNRDFsNCz63261DJdK2jCI5nccum4brcbSmUOwJCvMLtfXO/9PDG5Z39VA6hsMhc/Txere6v/qX5mlG1lYFmL4VuyHJYxg6K219o8U1AAAAAAAAeq+G6w3bTSOdEdFPAZ5qnVh0SH8aWSXHl1/qrW1b5DSbX6O4PrNff30UMlSb+41WVFWpbtz6QYumkLZba9jtdmvNmjVKSUlp8t4mAAB9DY1iWDQs+I5x6pEt63y2BDsdWnn7bCXFhDYRZ1U/rvacrWkwd0bcvhWfyvPQfTqpJKfJfWvbqv9NPllVAYG6YEyCYp0e5ReUasPODCUXZWlAeb7tVDoNvxHZ0UxJRYFhWjbsZF1y7fkaM/c72lFYrecfX6Nfbvh749/qNE0NKMvrxJECAAAAAACgu6i/3vCxaaSNuuXSLktdqQNRAzWwLF9h7kpVrfbe82rJTegqR4DWDRynlPnzNPrs2drtjNGjT3xe9/6XA8e2eArphmsNu1wupUVI4xKjFBgY2NqPDwBAr0OjGBb1C77mVLo9yi+tUlJMaKvjWttg7ui4EHelrtu+VOfv+9z2fVOq+RajfL7F+FHyNEnS+bemKDEpWnnphbrn8TVKLDmq5z76o2rXCq5/HFOGbvzuHcoJjdY7103R8bFB2pWWo1tfWaekkqO6a8PfZdjGSf8ZdqpcAYG6aEy8YgOqVZBXrK92ZSi5KFv9KgpsG9Aew9D/hp2il8edo0tOnqGAiAipsFCSlB0WJ9Ur8H0Yhvd9AAAAAAAA9GhtmRkwseSoFm56Sw6ZlntII4qy/B5LtQz9a+Rpemncufrw/BQFJUUrtqCcKaQBAOhgNIrRrMamkGkvnd2YbknchKN7tHDTmxpk8/RspcOpl8eeow0DTtCcg1/ZfouxfnFauy5KRkQ/LZk0X4s2vWk7TU56ZH9vXGJ/BcaEKjY0Rhnxh7U/OlFL3FWNxn2UPE3BToeuuX22EmNCZRaU6w+PrFZ8QXajjWnDlJYlT7cd5/LkabosdZXtui+GaVriAAAAAAAA0LO05gGMgaqUPl2ln27+QKelb/Y2if3gkkNOec9nueck6X/JJ/vsbzeFdGOYQhoAgNahUYwmWaaQMQxdlrrK58nZ1OwSBQY4lF5Q7hPb2gZzZ8fVF+Ku1HXb/qPz96+1fT9gwkQ5f/4r3TB4qG6Q5HZfoDVr1uiilBRd2sj6Jr5FbYrM9Etl/PcDKStTGjhI5rzztTBpiBZ2RNykQOlP99e0iusV7z//lZ47+7x2iQMAAAAAAEDP0vBBCrv7ajmhMRqbu1+Tjqaq8EfPqih1lwJMU+f6cR5z5GiZk6fp7sOh2ho/Qinp3zb6MITdNNINp5AGAADti0YxGmU7hYxpypS0eNMbumDfGpUFhqjs8wCtczjkdjh1l+H9uX9ZnsblHajXYjR0WepKfZp4krYljFBVQKBef2CnQiJCVW4EanxOuaoCAjU5e5eu2rlcZm1/0pAuS12lP0+8VMuTp0uGoTV7cpRZWKH0/LK6o7ekoV1S6VZZlVuV7mrL55ybtkHH56dpVEG6ItwVllwYISHqv3iRYq+8UkZAQN32lq5v4lPUJkVL08e36PegzXHXX6mqM1NU8PY7cqWnKzApSTGXXqKg5OR2jQMAAAAAAEDPVP++mlFzD3B+6kpVGw45zZbN5lefR9K6geP0l0mX6h+3z5MkffX4GknSR8nTtC1+eIvXGgYAAB2LRjEaNTdtw7HGaz21U8OMLkxv9hjHppHxHmN2xjeanfFN8yc3fX9etPktLdr8ltyGQ+4PAlRtBCjKcOgfjgDJNBVbVeI9l01D++y0dSpzhmj7upe0xeGQ2wjQzx0BcjsCNKgkVxNy98qU5GhsKCdO1MhHHuyxTdKg5GT1//niTosDAAAAAACA/1q7ZnDDOLfbrUMl0raMIjkbmQFPkmSamnR0txZuetN7X6zBPcCWNIntli6TDD0//nwVBkfWnZe1hgEA6J5oFKNRA8ryZLTiW4MdyWl65Kz2SHI1u29tkTouL63F+9ZX6XDqxXHn6ceP/kJBQ2L9GicAAADQnlp747i9ztfiG84AAKBVWrNmcFJMaBNxTj2yZZ0l7qNrxilq+2YZH3+qVz9do37lhX6N0wwO1sboYdrcb7SC3VW6cteKZqeRZq1hAAC6LxrFaFSEq7zRp2x7O1PSR0On6v2RKfqxo69mAQAAoG9obVO0vZ76aS6u4Q1guzUEMyL6SfK9cdzaMfp7w7mt5+vJcd3tWukucS3JS1ePsbPjuFbs48gLX8zprVpzLbRkzeDaf+8r3R7ll1YpKSa02bjPkiYoobxQE4+matLRVJW8na0SeWfW69eCz+KRtCs2Wcefe4aGzZmt/f2H67fPrK97f9WQyS2aRpq1hgEA6J5oFMPW+Jy9mnhkt+17Zs2Pv405W6WBIbp5ZrIGhAUoO69E/1y7TxOPpOqE/DTbJrMp6WhItApCIjU6JkhB1S5VlZWrpKhUYa4KBci0iep8HhkKd1nXKgYAAED31ZlN0fZ/6qfxuPo3gOuvIVj75M5lqau0ZNJ8fZQ8zefGcWvH2PCGc1OaOl9LG9qdmcuOies+10r3ims8L5K6yRg7O45rhbz4xkmN/Vlo/os56L5aew3VV/fvvbyz4JmSLktdpX8e911tGDjGu9P2GJUfDZeOluqEmtn0pmdt1+W7V9bEmTLkXWvYbia9lvDI0L9GpOi5CRfqw2tTFJ4ULaX7PoHc1DTSAACg+6NRDAtPZoZ+s/5VORs0bT0yZNabQuaj5GmSpJsuTVFCUrSy0gv1t/w1+njIFD330R9l1hSktbwNZkN3pvxEmREJ+vDWFI1KitbW9ELNf3yNEkuO6rmP/lhXyDaMu/uUa5UfEq0/X3aiRsSGaF9WgX7zzjfqX5qnn21+u5E46Y3RZ6g0KFTXnTxY/UOdOpJfonfWp2lCzh6NLjhs/9S0YSg7LK4dsgkAAIDO0F5N0fZ6eqfd4nKLpMICjSo4rBEF6frZ5rd81xA0TZmSFm96QxOP7lZpYJiMJ75UVkSICkqrdM3mDJmGt54OrypXcnGWwt0VKnWGaH/UIJUEh3kPI0MFf96swMgQGSWVunr74bo6PNJVphGFGQp3laskMFR7YpJUHBReF2f8fbdyokNVUFSpi7alyTSkUQWHNTNji47d3jZ0WepKfZp4klJjh8g0DBW8kqbQmFAVFFbq7F376tY0jKoq0Ql5BxVZVabioDBtjx+mguCIumq/4I0jCosNVUFBhWbv2eONMwxFVxRrXN4BRVeWqjA4XFviRyg/JEpmzX8SCv5dpIi4cBUUlOuUA7vqxh9TWaQJR/cqpqpUBUHh2txvtPJCo+t+j/KXuRSVEK78vDJNPLTDG2cYii0v1OSjqYqpLFFBcIQ29j9eOaExUk2+8z8JUEy/COXnlumEzGPniy8v0NQjuxRbUaz8kEitHzBGOWGxdfnOXx+h2H4Rys8p07Aj+71fCpDUr6xAJ2dtV1xlkXJDovTFwHE6GhbnjTMM5X+7TfEDIpV/pEQD89Lr8tW/LF8zMrcqvqJQOSHRWpN4oo6Exx873+696jcwSvnZJYopPFoXN6AsT9/J+FYJ5QXKCY3RJ0kTlVUbZxjKP5SpAa5I5WcVK6S0UCG1caV5mn34a/UrL9TR0BitHDJZmeEJ3t8Hl6H8o/ne3+mKcgXX/J4PLM3VmYe+Uv+yfB0Ji9PyoVOVGZEgU4ZcVdXKLypXYlSw8osrVOmqlmpy0u3+vBJHnJ9xtb/291zo3vy+ForKlZCfJa3brCt3rNKYvAOafDTVtrl7xe6PdMXuj7wvPpUOSAqQtKSNY669A2hda1j6cMRMn30brjfcFNYbBgCg+6NRDB+esjKV3bFI0VWlPtt3xA5VdlicZQqZ+gVfbaGYEdFPSybN16JNbza6Roldodhc3FcDx3p3PGGswmq+wbj50zKpn+QxHI3G1Ta0r70yRf2SopWdXqgXy441pu0a2oZpalny9A7JMQAAANpfa2/s13fsaV3V9jZ1WeoqPT/+PK1JnCCH6ZEyDqvKlS9lFWloUZYMmZqRsUU/3LnC8tTPuyNP05Z+I+X0VMtYXaHCqCAZR4p09oGdCvBUa1zufs1K31wvyvvUT3ZorAyZiq4qVcC/XJKkx5v47LW17HcPb/L+Yr+UL++Ukhc1EXdCwSHfDalSbk3c95uIG593wHfDTuloTdw1lr1Nn59nZ3yj2RnfeDdtlbJr4m5u4nxTjjaY6egbKasmbmETcSdn7/DdsFHKqIm7s4m4mVnbfDeslw7LeyP+nibiTsv41nfDWulgTdyDTcSdUfv7VuszKa0m7rEm4uYe/Mp3wyppf03cX5uIOyftS98NH0l7a+JebiLu/P1rfTf8T0qtiftnE3Hf2/eZ74b/eH96r4mYS/es9t3wvrSz5lz/rbe54XxU81NXqlqGTMMhGZLjPwHa6TDkMKX3qr1/Pzg8HgWa1Za4ioBAuR3eWySOjwO1O8Ahhyn9s9wlU1Kgx60wd6UlrsQZqkpnkExDcqwNUarTIUe1qZeLKmUaUoi7yvL/6/mpK5UfHKmywBCZkhxfP669gU453B79Na9MpqRwV7kSKooscUdCY1RU80UNx/bntT/IKYfLoyVHiiVJ0ZWlGliWZ4lLD09QfkikN27fP5QW7JSjqloP1DwZGFdRrCElRyxxByIHKqfmixOOjHd0MDRQjopq3XPAe46E8kKNKMqwxKVGD9aRsFjv78O9S3U4LEhGuUt37smRZGhAaa6OLzjk8/fm/NSV2hGbrIya+w3GgyuVEe6NW7TjiEwZSiw5qvF5+31+7+enrtS38SN0OHKATEMy/rxWWRHBMkpd+sm3mTINQ0OLszXxaKolbmO/45QWPcg7jmc2KTsyWEZJla7d5v2yxfDCDE07srPmroF3tPNTV2rdwLHaF53k3fLqTh2NDJFRXKkf7Dwo0zA0quCwTs3cqoZfllmTOMH7ZRlJxpveJ0AvTvV+IeS4/EM6zeffBN8ZI9A1WjsNeS3rTCDeGuHTpJNUFeDUsKIsOf77a+2rrFSApB92wGew44iIUPWEyfprcZw29R+t4/PStGjTW82uNSyx3jAAAL0NjWLUMT0effvTxYrOTPPdfvJMjbj7fmV88YUuSknRpY2skeNbKKbITL9Uxn8/kLIypYGDZM47XwuThmhhg7j630T8KHmatsUPb3RtE7vGdGvjWtvQBgAAQMt09tqQtRqbnvnxiZfom36jFF9eKGNluXJdxTL2HtSdG3ZqUGmORhcc9jZdfXub+vHWD/TjrR94X6w41lR7ppnxXbr3E1269xPvi/XHmpQ/s+zp2+4aWJ7f7GcHINun7ZwyJbPa+8fKU13XiAxp5lih1S6p2vvFDLnKVV0TF91UkKRId7ki3eXeF+WFctfEDWgmLq6yWHGV3uauSqSqmrjkZuIGlBdoQHmB90WhVFETd0IzcYNLczS4NMf7Ilcqq4mb2Ezc8OIsDS/O8r44IpXWxJ3cTNxxhYd1XOFh74sMqVjev/9mNdjPaPDz2Pw0jc2vuSdxSCqsiZvbSFytk3L36aTcfd4X9b4sc0EzcVOP7tbU2i+j7JHyauLmW+J8/2E4NWu7Ts3a7t20S8qpifuRGvKNOy3j22NfKqn5TsqNTcSYkhZtelPb4ofbrvmKjtWWKaRD3JWakr1TCze92WAmEO9Ps9M3d8iYG2NKKgiK0PsjU/TDWy7VCbNP1rbsUr3/+BpJ0qHIAdoWP6JFaw1LrDcMAEBvQqMYdQ4seVzBaz/x2RY0YoSGPbFEnpAQpW2RxiVGKTAwsNFj+BSKSdHS9PHNntf+m4gX1f3q0npbG29Mtzau5Q1tAACAvqp91/61ao+1ISXJYXp04tE9WrjpLTlkWqZn/tnmt48Fr5GOyL5xAQBAd2BI8hiGzkpbzxqwbdSaWqYls5VkhcUpsTRXw4oyVfDEVnky0+TYvlPvZGZ4a5F2ZkpyGwFyBTgVGhigAEOqNqVyV7UCq91ymtW2X6LxGIaWJ0/XP48/Uz8cM16G02mZQrqptYZ5kAIAgN6LRjEkSXn/W66K53wnKHNERWnIU08qIDJSHperQ8/f2m8itktcCxvaAAAAfVF3XPs3JzRGSSVHNbQ4WwVPbpN5NF2OXan6V9oBBXqqLeOS7J887EnchkMlzlBFu7xT2NqtIbg6aaLKA0M0cXC0QgMDVFzh0vaMQp10dI8GluXZ3ziWdCQ0Vtvjh2tYfKhCnQGqcFUrLbdUY/MOqF95gW2cKSknJFqpsUM0JCZEQU6HKl3Vyigo19CibA0qy200LissVpnh/dQ/MkhBAYaq3B7lFFcquShLMVUljcYVBYXrcEQ/xYcFyukw5K6uVkGZS4klOYp0lTUaVxIYqiOhsYoOdcppSNUej4oq3OpXlq9wd2WjceUBQcoPiVJEUIACHJKn2qPSqmrFVBYrpNrVaFyVw6mSoDCFOB0KMCSPx6NKt0fhrnIFeuxv4JuSqg2HKgOCFOgwZBim5DFV7fEo0OOWwzQbjfOuGeyQUTM5rmG2f2MCQBcyTQ1oMJ04/NOWL6HVmnNgvRZufqtmloJjy0VUGw45zZrjbpBK5P03ujV1hxkbp03OeB0NidGcQxssx6ldW/6m796hzIgEfXhrisYmRWtreqEuefzYEmuyXWJNliXWmEIaAABINIohqWLXLh3+xS/l85yww6GkRx9V0LBhXTQqAAAAtLeGT9O43W4dKpG2ZRTJ2cjyIh259u8rY87WhoFjFOhxS1u/UemhYCmrQCdnblOgx61JR3br7LQvVbteoyHvTVlT3ieBJUlfeac0NSQ1Pu9Nx6qd2tZue5kzRAXBEUqMj1BIaLAqTEM7j5YrvrxA/SoKG2neGvp80Hi9O3qWHrlhlhQdo/Nf3CwZhs5M29Do0im1a1h+eGuKxtfcOL7p8TW6ZttSXbpntQJM6w1y03Dok8GT9PK4c3ziFjQT5zEcWjlkiiXupmZuVJsy9OsZN9Xd4K6Nu7EF5/tf8smW813bgrilw061xP2wBXEfjEixxF3egrh/jTzNEndJC+LeGTXbEndBC+Lerhc3ribuvGbiqg2H3ht5ml4dc7beW3Cqxg6K0vb0Ql3y9Of64Y5l+t6+zxRg03CuNgy9PzxFr59wpl6/4RSdMChSOzMKdeXz6/T9XR/p/P1rG41bOuxUvTX6dL10zTRJpq57aYMuS12leWnr7GNkaFnydL07apae+eFkje4fodSsYi34x0ZdtPdTzU3boACbp/WqZejjoVP1/oiZ+vPlEzWyX4T2HinW4jc26bx9n+uMQ183Grd68CT9d9gpeuiSEzU8Pkz7c0p11zvfat6BL3Va+uZG49YkTtCK5Gm69/yxGhYfpgO5Zbr3/a2ac/ArzczYYvtUoUeGvhg0TqsGT9Zd807Q0LhQHcwr00P/3aHZhzbplKztjcatH3CC1iSdpMVnjvbOxJBfpsc+2q2UjG81NXtXo3Ff9x+tdYPGa8GsERoUHaLMgnL99ZO9OiVzmyYe3dNo3LcJI/TVgDG6buYwDYwKVlZBuV5ee0BTsnfqxNz9jcRJ2+OGa1P/0bpy+hD1jwjWkaIK/XPDQZ10ZI/G5Kc1GrcrZqi2JozQJZOTlBAepJziCv1rU7rG5e7X6IJDx/7+bxC3NzpJO+OSde6JAxUXFqi8kir9b2umjs8/qOGFGY3GpUUO1J6YwfruCf0VG+ZUfmmVVu88ohGF6RpanG0bZ0o6HNFPaVEDNXNkgqJCnCoqr9IXe3M1tChLSaU5TXxZJk6HI/ppanKsJOnrtDwlFR/VgPJ8++aiYSg7LM7uHbSQ37XM0XzF7t8pY/23+sk3n+m4/IM6vuCQ/XT3Nn/HtoQpaX/UIK0YOk03XD1HJ8yYpJ0VTv26ZirorQkjmlwqzU5LllhriCmkAQAAjeI+zp2fr9033KzAqgqf7QN++QtFpMzsolEBAACgKe07FbRTj2xZ57Ol0adpGln79+kJF2pLwkjFVRTLWF6kHHeJjP3punPDTg0szdNxtTdXG6z9e+2O/+raHf/1vvhEOijv2r/3WD6JbzOhrU8HlwcEKWTQQIUnDVJJRIzeOVgptxGgy3d/3OjTOz+dvVAZEQl6Z8FMjRscq21ZxTr/ybUaVJKj5z5+WI01RW+dvbCuKTqipom3uJlmqiS9NO5c7w3dpCE1H9q710fJ07QtfniL1xCUpOXJ03RZ6ipLQ9v7hJFpecKorXGtuVHdFePs63FLh50iV4BTCgqWIyRECqlUpTNY/x1+qi7e+1kjcdIHI2aqOChcio6WMzZaKnOoMDhSH4xI0QX71jYa997I03Q0LFYaMFCSdCQ8Tu+NOk3nHFhnHyPp7dGne6+XocMUnBQthRTqYFS63h59us5K29Bo3D+P+6437rgTFJoULaUXandsrv55fKi+e+jrRuP+ccJcb9yESQqvidvyaZlyQ6M1K31zo3GvjJ3njTt5hiJq4jas9yg9op9mZmyxjZOkF8ad542blaKomrjPvg3W3ugknZK1vdG4Z0+8UJkRCVp0VopikqJ1OL1QK1LXaFv8cE3N/mOjcU9NuFiZEQn6yYUpikuKVkZ6oT44tEYb+x+v5z5qPO4vEy9TZkSCrr08RfFJ0cpML9RbOWv0eeKJTcQZenTy5cqMSNAVV6eoX1K0stML9beSNfp4yNEm4x6eeoUyIxJ08U0pGpAUraPphXqu3t+bpu3fm4YemHaVMiMSdM6tKRqUFK3c9EI93oK43598jTIjEnTGrSlKTIpWXnqhHm4mzpShu0+5vu7v98E1f7//vkVflvlxXZwk/abZJ0Eb/3PeF7XmS2/1WWoZSZelrtT6AWMkw9CwokwF/CtfabJf59of1Tr2xTa7a+G+6VcrMyJBN0yeJme89++AWq35974tcQAAoO+iUdyHmS6XUn/yUwUezfLZHn3xxYr90Y+6aFQAAAB9R2eu/evX0zSuauUfzVe/gmxpZ5pmpn+r5KJM/XDXipqGr+/av7d8+69jJ10rHVXXrv1b29xorHG7LyZJH96aouSaG/sv1jy9kxGe0Ghzc39MkvdAwSEygoKkAKdMw6GMyP6taoq2tpkqNb2GYHueqy1jbM2N6s4eJ3FdH9cTxkgccd35z0Jf0+ovvZmmEsoLNDl7p362+W1v87bBTAanZO9o09hyQ6IUN36M4k8cq5x+g/Wz9cU6GDlApx3e3OLf19auGcxawwAAoC1oFLdBa27stTauI85V/ehDCtr8tc+20IkTNfCeu2UYPX0VNwAAgM7TbRu+9aeCNk2FuSoUU1msuWkbdFnqStVO6Sx5p3TODIuXQx7FVJYo4N8u7ZX3Cd/fNDG2rqwas0Nj1H/8CYofe5xy4hL1iw1FOhzZX9OydjR6U3ZfbcPXRmc/vdPSuIY3gJvS2A1gf8ZY/3zNxTV1w9nfhra/4ySud8T1hDESR1x3/rPQl7SkBioIjlRyUZaGFWWq4IG1cqcfkGPXbv2tuKhDxlQtQx+MmKlnJlykD2899hT8nt3eL6H58/va2jWD7eLcbrfWrFmjlJSUFj1pDQAA+i4axa3U2ht7rYmT1O7nOmf/Wt36zXs+24z+AzT48b/IEcQ3CwEAAFqq0xu+9cw5sF4LN3vX/jVqHoy5LHWlvhwwVgUhkYqpLJFj10vaU1QgR06O3qmsbDAi36dpEsty/U9AG3kkVQUEKjgkWM6QYLkdAcoqrVaYq1xRrjLbRnS1DP1r5Hf0/IkX+NyU3bbf/5uynf30TmviWnvjuLVjtL/hfJ7WrFmji1JSdGkjN5xb29DuCb8HxLV/XE8YI3HEdUYcT4K2zlkH1um2ze/UvPJO2T0/daVv3fCNVKZWfqktIEBm0hB9Wh2t3JAoXbR3jQy7qcElvT8ixSe0LU/4tnbN4IZxLpdLaRHSuMQoBQYG+n08AADQd9AobqXW3thrTVztr9vrXMfnH9SEnD0+n6fS4ZTz3ofk7NevnTMFAADQc7TmyeB2afha1v6VLktdpTePO117ogcrprJYxss7lFlZLMfhLC3ZcUDx5QVKqCjyXfu3xqnZ24+9yJJc6pwnfwuDwhWVNFARgwaoODxGbx8oV7XhaHLt3xvO/GXdWo3H1UwFfV1z6zVK+s/wGT7nbt+maPNP4bTnUz8tjfP3xnFrz2V3vpbccO6KnHR1XHe9Vro6riV56eoxdnYc1wp5aSyOJ0H9l1hyVLdtfkeOhgVQG5iSdsUM0QcjUrT4pnkae8oEbc+p0IM1y1Psj0ps8RTSbfn3FwAAoLPRKG4H1ht7hi5LXaUlk+bro+Rp7RrX9nNJDtO03ChcMvly3XHcCa35+AAAAL1Ca58Mrq+xhu8/j/uudsQnK6KqXMa/spQT4JKRflQLv96jhPJ8TT6a2mDtX+9P39+98tjBv5UK5G2SdmbVZoaEKssRptLAYI0szJBk3/C9+Yyf61DUQH14a4qG1jR8X2rB2r/ttcZjZzdF7eJaqrVxrdGZ52rL+XpqXHe9Vro6rqVfLOiJn621cVwr9nHkhSdBW2Nu2gaZx1bPaLHygECFVLsk2dcyf5x6pTIjErR41HFyBAdLqqjbx9+pwTv7318AAIDWolHcRoklR7Vw01vebzHW3dgzZUpavOkNXbVjmaodATK/CNLOAIfMao9eLK5UgKda/SoKG9wQrB/3P1U7nKpeGyTTlF4srZLDrFb/8oJGY67cuVzVjgBVfh6obwIccnlMPVdaJaenWgPK822fNpGkD4edok8GT9IdHZopAACA7q2lTwY7PW5FFxUpf/1GRZplMlLTdM22zRpcnK0ZWdtsG75X7P7o2Ik2SkclOSSd1UmfraHap3Ib8sjQF4PG6Z1Rs/Xwj2dr7Nhh2l7g1nU1Dd8z0zY02rg9FDWw0fN11hqP3JQFAKD3G1CW12ST2CPpUOQADZlyogZMHKes+CRd/2m+joTF6rsHN7b4S2htmUIaAACgp6BR3BamqWu3LZVhU53W3njrX1Hg/UWZt4Z1ShrUxCGPxRXWxamFMQPL872/KPX+FCQpvIk4yTumskBupgEAANRX+2Sw17F178oDghRWXfPE6nIpXd6G7+VdM8xGmZL2Rifqi0HjdeXZEzVk5GAdNEN04wf7FOKq1BOrH5PdlM6S9MK487w3ShMHyxEeLhUU1u3Tndf+BQAAfUN2WJxU2+htoFqG3hs1Sy+MP08f3pqihKRoZaUXKnuj90tv/tQyTCENAAD6AhrFrZWZoXvWvaiTs3d09UjaxCND/cvyu3oYAAAA3cbo/INatOlN2ydu65rEncSUVOoMUVrUQI0dm6zYIYOUFxShJzfnyTClBd++J8Om4WvK0P3TfqTMiARdcX6KopKipfRCZa4skiS/pnRuz7V/G9MeazwCAIC+YXnyNF2WusoyQ0rt66XDTvHZvy1fQmO2EgAA0NvRKPaTp6pKeS++JOOpp3VyVWVXD6ftDMP7TUwAAIC+LitDN3/7L527f61tk7gtTEnlAUE6Ehar5OSBiuwXpyJnqN7fWyzJowv2fS5D9uvl3TZ7oTIjEvThrSkalBSt3PRCLS30PhVTGRDo99q/Uuc9TdMT1vAFAAA9S0ZEP7++9MaX0AAAABpHo9gPpevWKfPe38m1f78czexbe2PviZMuVl5IlH573lglx4crLbdUv/9wu2IrinTrN+82+gTIsbgxkqT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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# === Load data ===\n", - "df1 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\old and new data comparison\\old ReEDS input\\rps_fraction0.csv\")\n", - "df2 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\outputs\\rps_fraction.csv\")\n", - "df3 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\outputs\\intermediate outputs\\rps_fraction_intermediate.csv\")\n", - "\n", - "# === Get list of states ===\n", - "states = df1['st'].unique()\n", - "states.sort()\n", - "\n", - "# === Setup subplot grid ===\n", - "num_states = len(states)\n", - "cols = 3 # You can adjust this for layout\n", - "rows = -(-num_states // cols) # Ceiling division\n", - "\n", - "fig, axes = plt.subplots(rows, cols, figsize=(20, 3.5 * rows), sharex=True, sharey=True)\n", - "axes = axes.flatten()\n", - "\n", - "# === Plot each state's data ===\n", - "for i, state in enumerate(states):\n", - " ax = axes[i]\n", - " state_df1 = df1[df1['st'] == state]\n", - " state_df2 = df2[df2['st'] == state]\n", - " state_df3 = df3[df3['st'] == state]\n", - " ax.plot(state_df1['t'], state_df1['rps_all'], label='rps_fraction0.csv', marker='s', markersize=7, color='C0')\n", - " ax.plot(state_df2['t'], state_df2['rps_all'], label='rps_fraction.csv', color='C3', linestyle='-', linewidth=3)\n", - " ax.plot(state_df3['t'], state_df3['rps_all'], label='rps_fraction_intermediate.csv', marker='o', markersize=5, linestyle='None', color='C3')\n", - " ax.set_title(state)\n", - " ax.tick_params(labelbottom=True) \n", - " ax.grid(True)\n", - "\n", - "# === Remove any unused subplots ===\n", - "for j in range(i + 1, len(axes)):\n", - " fig.delaxes(axes[j])\n", - "\n", - "# === Shared labels and legend ===\n", - "fig.legend(['rps_fraction_old.csv', 'rps_fraction_new (piecewise interpolated).csv', 'rps_fraction_new (not interpolated).csv'],\n", - " loc='upper center', ncol=3, bbox_to_anchor=(0.5, 0.99))\n", - "fig.suptitle(\"State RPS All Fraction Comparison\", fontsize=18, y=1)\n", - "\n", - "plt.tight_layout(rect=[0.03, 0.03, 1, 0.99])\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# === Load data ===\n", - "df1 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\old and new data comparison\\old ReEDS input\\rps_fraction0.csv\")\n", - "df2 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\outputs\\rps_fraction.csv\")\n", - "df3 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\outputs\\intermediate outputs\\rps_fraction_intermediate.csv\")\n", - "\n", - "# === Get list of states ===\n", - "states = df1['st'].unique()\n", - "states.sort()\n", - "\n", - "# === Setup subplot grid ===\n", - "num_states = len(states)\n", - "cols = 3 # You can adjust this for layout\n", - "rows = -(-num_states // cols) # Ceiling division\n", - "\n", - "fig, axes = plt.subplots(rows, cols, figsize=(20, 3.5 * rows), sharex=True, sharey=True)\n", - "axes = axes.flatten()\n", - "\n", - "# === Plot each state's data ===\n", - "for i, state in enumerate(states):\n", - " ax = axes[i]\n", - " state_df1 = df1[df1['st'] == state]\n", - " state_df2 = df2[df2['st'] == state]\n", - " state_df3 = df3[df3['st'] == state]\n", - " ax.plot(state_df1['t'], state_df1['rps_solar'], label='rps_fraction0.csv', marker='s', markersize=7, color='C0')\n", - " ax.plot(state_df2['t'], state_df2['rps_solar'], label='rps_fraction.csv', color='C3', linestyle='-', linewidth=3)\n", - " ax.plot(state_df3['t'], state_df3['rps_solar'], label='rps_fraction_intermediate.csv', marker='o', markersize=5, linestyle='None', color='C3')\n", - " ax.set_title(state)\n", - " ax.tick_params(labelbottom=True) \n", - " ax.grid(True)\n", - "\n", - "# === Remove any unused subplots ===\n", - "for j in range(i + 1, len(axes)):\n", - " fig.delaxes(axes[j])\n", - "\n", - "# === Shared labels and legend ===\n", - "fig.legend(['rps_fraction_old.csv', 'rps_fraction_new (piecewise interpolated).csv', 'rps_fraction_new (not interpolated).csv'],\n", - " loc='upper center', ncol=3, bbox_to_anchor=(0.5, 0.99))\n", - "fig.suptitle(\"State RPS Solar Fraction Comparison\", fontsize=18, y=1)\n", - "\n", - "plt.tight_layout(rect=[0.03, 0.03, 1, 0.99])\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# === Load data ===\n", - "df1 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\old and new data comparison\\old ReEDS input\\rps_fraction0.csv\")\n", - "df2 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\outputs\\rps_fraction.csv\")\n", - "df3 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\outputs\\intermediate outputs\\rps_fraction_intermediate.csv\")\n", - "\n", - "# === Get list of states ===\n", - "states = df1['st'].unique()\n", - "states.sort()\n", - "\n", - "# === Setup subplot grid ===\n", - "num_states = len(states)\n", - "cols = 3 # You can adjust this for layout\n", - "rows = -(-num_states // cols) # Ceiling division\n", - "\n", - "fig, axes = plt.subplots(rows, cols, figsize=(20, 3.5 * rows), sharex=True, sharey=True)\n", - "axes = axes.flatten()\n", - "\n", - "# === Plot each state's data ===\n", - "for i, state in enumerate(states):\n", - " ax = axes[i]\n", - " state_df1 = df1[df1['st'] == state]\n", - " state_df2 = df2[df2['st'] == state]\n", - " state_df3 = df3[df3['st'] == state]\n", - " ax.plot(state_df1['t'], state_df1['rps_wind'], label='rps_fraction0.csv', marker='s', markersize=7, color='C0')\n", - " ax.plot(state_df2['t'], state_df2['rps_wind'], label='rps_fraction.csv', color='C3', linestyle='-', linewidth=3)\n", - " ax.plot(state_df3['t'], state_df3['rps_wind'], label='rps_fraction_intermediate.csv', marker='o', markersize=5, linestyle='None', color='C3')\n", - " ax.set_title(state)\n", - " ax.tick_params(labelbottom=True) \n", - " ax.grid(True)\n", - "\n", - "# === Remove any unused subplots ===\n", - "for j in range(i + 1, len(axes)):\n", - " fig.delaxes(axes[j])\n", - "\n", - "# === Shared labels and legend ===\n", - "fig.legend(['rps_fraction_old.csv', 'rps_fraction_new (piecewise interpolated).csv', 'rps_fraction_new (not interpolated).csv'],\n", - " loc='upper center', ncol=3, bbox_to_anchor=(0.5, 0.99))\n", - "fig.suptitle(\"State RPS Wind Fraction Comparison\", fontsize=18, y=1)\n", - "\n", - "plt.tight_layout(rect=[0.03, 0.03, 1, 0.99])\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Load CES data\n", - "df1 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\old and new data comparison\\old ReEDS input\\ces_fraction0.csv\")\n", - "df2 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\outputs\\ces_fraction.csv\")\n", - "df3 = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\outputs\\intermediate outputs\\ces_fraction_intermediate.csv\")\n", - "\n", - "# Rename column '*t' to 't' for clarity\n", - "df1 = df1.rename(columns={'*t': 't'})\n", - "df2 = df2.rename(columns={'*t': 't'})\n", - "df3 = df3.rename(columns={'*t': 't'})\n", - "\n", - "# Get list of states\n", - "states = sorted(df1['st'].unique())\n", - "\n", - "# Setup subplot grid\n", - "cols = 3\n", - "rows = -(-len(states) // cols) # Ceiling division\n", - "\n", - "fig, axes = plt.subplots(rows, cols, figsize=(20, 3.5 * rows), sharex=True, sharey=True)\n", - "axes = axes.flatten()\n", - "\n", - "# Plot each state's CES data\n", - "for i, state in enumerate(states):\n", - " ax = axes[i]\n", - " df1_state = df1[df1['st'] == state]\n", - " df2_state = df2[df2['st'] == state]\n", - " df3_state = df3[df3['st'] == state]\n", - "\n", - " ax.plot(df1_state['t'], df1_state['Value'], label='ces_fraction0.csv', marker='s', markersize=7, color='C0')\n", - " ax.plot(df2_state['t'], df2_state['Value'], label='ces_fraction.csv', color='C3', linestyle='-', linewidth=3)\n", - " ax.plot(df3_state['t'], df3_state['Value'], label='ces_fraction_intermediate.csv', marker='o', markersize=5, linestyle='None', color='C3')\n", - " ax.set_title(state)\n", - " ax.tick_params(labelbottom=True)\n", - " ax.grid(True)\n", - "\n", - "# Remove unused axes\n", - "for j in range(i + 1, len(axes)):\n", - " fig.delaxes(axes[j])\n", - "\n", - "# Shared legend\n", - "fig.legend(['ces_fraction_old.csv', 'ces_fraction_new (piecewise interpolated).csv', 'ces_fraction_new (not interpolated).csv'], loc='upper center', ncol=2)\n", - "\n", - "plt.tight_layout(rect=[0.03, 0.03, 1, 0.99])\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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SXb9+HW+++SZ2796N9u3b4/PPP68w+K/T6TBw4EDMnj1bxpQNI8LxZWFhgUuXLtX4GZabm4uOHTs2+7+TY8eOrdfnV1RUVBOkuTuTJk3Cpk2b4ODggODgYAQEBChyQBa43Z948eLFaN++PRYuXKjogc2QkBBkZGRg3759FWYEALcLy3q9Hs7Ozs1+JqaFhQVycnKEKPx9/vnnmDFjBjZt2lSlb/SuXbvg7++PZcuWYfz48TIlrL/Ks8vuFP8qP27un8VA1SLlY489huTkZDg5OVV4/oEHHmjCVPfGqVOnMHfuXOzatQujR4/G+++/X+OM0+bqTo9io9GIGzduIDAwEB988IEiZpkAt/N/+eWXMBqNyMzMxLPPPouQkBD4+fnV2aepObGxsYFer8fatWvNN1kqVeXxhzVr1iAgIEBxBTOtVluvWb7x8fFNlOju3bhxw1yc+d///ge9Xo89e/YoatUFR0dHREZGYsCAATh79ixcXFwQGhqKFStWyB2tQY4ePVprz86rV69i+vTpzf57JACkpaXh6aefNj8+c+YMIiMjsX79ehQUFOCll17CiBEj6ly5SG51XQcrSUZGBlxcXCo8d/r0afP7kp+fDy8vL+zcuVOmhA1TVFSElJQUJCQkIDExEampqejcuTM0Gg369+8PjUYDe3t7uWNSHVj4o3+dTqdDTEwMbG1tq92+dOlSzJ49WxEX0bU5duwYIiMjsWHDBly+fFnuOPUSExOD8ePHIy8vr8LzdnZ2WLt2rWKaTcfHx2P8+PH4+eefqwxg/PPPP3j++efx2WefKXJ2g2iU+sWnPl+YVSoVtm3b1gRpGm/p0qWYOXNmjduvXr0Kb29vHDp0qAlT3TtKPb7UajV8fHzMM+UqKy4uRmxsrOL/TipNcXExoqOjYTAYkJKSgpdeegkhISHw9vZW1ExztVqNVq1aYcCAAbCwsKjxddHR0U2YqnEuXLiA3r17o2XLlpg8eTLc3NwAACdOnEBERASKi4tx5MgRdOrUSeaktRPphiUACAgIwDfffAM3Nzd07doVKpUKJ0+exG+//YaRI0di48aNckesF5PJVK/XKWFmg0hFzDsqL1W8aNEixQyaA7dnLsXExCAyMhJJSUnw8fFBcHAwBg0aZJ55ohQtWrTAww8/jMDAQISEhKBbt25yR2qUr7/+GgEBAXLHuCd0Ol2dr1FawQwA/vrrL6hUKsXM5q9LRkYG1q1bp7jijKWlJc6dO4eOHTsCAFq3bo3Dhw8r6jMYuD0D85NPPlHMzaG1UavVcHd3x+uvv47Ro0ebx8HKysqwZ88eREZGYu/evc1+xZXy+zFq1ChFL+2rVqthb28PnU4HT09P6HQ6ODo6AgBKS0uxa9cuGAwGRYxPaDQapKamwtnZ2Vzk02g0ta5SRM0TC38km3/++QcbNmzAunXrkJ6erogLz/j4eEyZMgWHDh2qtsDk4eGBlStXYsCAATIlbLjr168jLi4OZ86cAQC4urrC29tbMX2+AGDo0KHQarWYPn16tdtXrlyJhISEWpcLak7KyspgNBoRHR2N7OxsqFQqPP744xg+fDgCAwMVNeBck9LSUuzevRsGgwE7duyQO06dxo0bV6/XNfeZTK1atUJERES1+1NQUABvb2/k5+fjxIkTMqS7d5R2fIkyU07UvngAcO7cORiNRnz11VcoKSnBiRMnFDOrQZTj646zZ8+a+8zcuYxRqVTw8vLC6tWrq9xp2xyNGzeuXu+JEvrl3LFlyxZs2LABGRkZkCQJrq6uGDVqFEaOHCl3tPtSYmJivY4xJRQxKy9VvHjxYkXezPfwww+jbdu2GDNmDAIDA2uc8auEWZjR0dEYOnRorTeTKEFDekgqjZILZvn5+Zg3bx42b95sXurezs4Ofn5++OCDD2q8obw5un79OmbNmoXt27ejpKQEAwYMwMqVK/HQQw8pqjhTeVZW27ZtcfToUXTu3FnmZA0j0ooLBw8ehMFgwJYtW1BSUoJXXnkFISEhFW4CuHz5crPf10OHDiEyMrLW/VCKpKQkmEwmJCYm4uDBgygqKoKDgwM8PT3h6ekJrVarmBlylpaW6NChA3x9faHVatG/f3/Fz4y/X7HwR00uPj4eBoMB0dHRcHR0xPDhwzF8+HC4u7vLHa1OQ4YMgU6nE6LAVFcRU0mz5BwcHBAXF1fj3aanTp2Ct7c3zp8/38TJGk6SJAwePBh79+7FU089VWEJ1l9//RVDhgzB9u3b5Y5ZL/W9c1EJs0xEsXXrVgQEBGDTpk3w9fU1P3+n6Pf333/DZDKhffv28oWsp/oUmQBlDZwrnVqtrldfPCX8jazs/Pnz5mXZbt68iVOnTimm8CeqK1eumG9acnFxUdRSrCKfK0omchFAqURaqrj8rL7qjjMlzcIU5Vyp7eaw8j0kb9y40YSpGk+EglleXh48PDxw8eJFjB49Gt26dTNfC3/zzTfo1KkTUlJSFNMnb9asWYiIiMDo0aNhbW2NjRs3QqvV4ttvvzW/RgnFmcqrk+zatQuenp7mPt53NPfr+praECnZnaVko6KikJSUBCcnJwQHB2PMmDE19sRujkTZjztKSkpw8OBBJCYmIjExEYcOHUJxcTFcXFxw+vRpuePVqbCwEElJSUhMTERCQgLS0tLg6uoKjUYDrVYLjUYjzMolomPhj5rEnT4GBoMBhYWFGDlyJD777DOkp6eje/fucserN0dHR8TGxgpRYBKpiGltbY1jx47VeJd/RkYGnnjiCUVctEVFReGtt97Cjh07qtzlFB8fD19fX6xevRpBQUEyJaw/UWbJiWbdunUIDQ3Fnj17oNPpUFBQgIEDB+Ly5cswmUzo0KGD3BHrpT4D5yqVqtlfgALizJQTqS8eUHGpz+TkZAwePBjjxo3DwIEDFbUsmyjHFyBOwV+kc0WUAgAgVhFAlPdFpKWKRVpKVqRzpTKl9pAUpWA2bdo07N+/Hz/88EOVJeUuXboEb29vvPjii1i+fLlMCRvG2dkZH374Ifz8/AAAhw8fRt++fVFUVKSoGbOiXNeLttR6ZZmZmYiKisJXX32FnJwceHl54bvvvpM7VoOJsh/A7YJmcnIy4uLi8MUXX6CgoEARN/hUdu3aNSQnJ5v7/aWnp6NLly44duyY3NGoDiz80b9u0KBB5gGz0aNHY+DAgbCwsIClpaXiCn8iFZhEKmI6Oztj6dKlGDZsWLXbo6OjMXPmTJw9e7aJkzWct7c3PD09MWfOnGq3L1y4ECaTCXFxcU2cjESyZMkSfPjhh9ixYwfmz5+PnJwcmEwmxSw9AYg3cC7K7B9R+uKVP77GjRuHgIAARS6XBYh1fIm0L6KcKyIXAADlFgFEeV9EW6pYZEo9V+5Qeg9JUQpmTk5OWLt2LfR6fbXbY2NjMWHCBGRnZzdtsEaysrJCVlZWhWusVq1a4bfffmv2/YhFpFar8eCDD9b5dyUvL6+JEt17BQUF2LBhA8LCwpCfn6/IIhOg3P0oKipCSkqKuUCWmpqKzp07Q6PRmHvlKWnM5Y6ysjKkpqYiISEBCQkJSE5ORlFRkWLel/sZC3/0r2vRogVCQ0MxceJEdOnSxfy8Egt/IhWYRCpiTp061fxH1drausK2Gzdu4JlnnoFOp8PKlStlSlh/7du3R2xsLJ5++ulqt//yyy/w8fHBpUuXmjYYCWfu3LlYsmQJnJycYDKZFLmEhigD5yIVMctTcl88tVoNBwcHuLu713osKWGWiUjHl0j7Up6Sz5XqKL0AACi/CFAdEd4XJRNlFmZlSj9XROkhKUrBrGXLlsjMzKzxuuTChQtwcXFBUVFREydrnMq98QDl9scTgVqtxooVK/Dggw/W+roxY8Y0UaJ7x2QywWAwYNu2bbCwsMDIkSMREhKC5557Tu5oDaLk/dBoNEhNTYWzs7O5yKfRaKrcjKEEZWVlOHLkiHmpzx9//BGFhYWwt7eHTqcz/zg6OsodlerQQu4AJL6kpCQYDAb07t0bbm5uCAwMxGuvvSZ3rEYZNGgQFixYAB8fn2oLTO+++y4GDx4sU7qGsbe3x6+//lpj4e/o0aOKWfLvnXfeQXR0NFxdXTFlyhR07doVKpUKJ0+exJo1a1BaWop58+bJHbNe8vLyav1i8Oijj5p7NhA1VOW+i5aWlmjXrh1CQ0MrPK+EYgZwe3DA398f/v7+5oHzSZMmKW7gPCIiAsuXLzcXMefOnavYImZ5KpUKKpUKkiShrKxM7jgNEhQUpNj/75WJdHyJtC/lKflcKa9yASAtLU1RBQCgahFg//79iiwClCfC+yKC2mYil5+FqRQinCvle0hu3LhR0T0kc3Jy0KNHjxq39+zZUxE3jrZr1w7Z2dk1Fv6ysrIUtQKDJEkYO3asuTcecHtG0IQJEyr0x1PKtZcI/Pz8hOnx9/vvv5t7kGdlZeH555/HqlWrMHLkyCr9F5szUfYjJSUFHTp0gE6ng1arRf/+/dGuXTu5YzWKra0tCgsL0aFDB2i1Wixbtgw6nQ7Ozs5yR6MG4ow/ajLXr1/Hpk2bYDAYcPjwYZSWlmLZsmUIDg5G27Zt5Y5XL7m5uejVqxcsLCxqLDD9/PPPirijQ6RZcsDtu+UnTpyIuLg480WzSqWCXq9HREQEnJyc5A1YT9XdFVhebm4uOnbsyCn11Cii9Geozvnz580XDDdv3sSpU6cUU/irTMmzf0TpiycyJR9flSl5X0Q6V0SZMVO+CLBw4UJFFwEAcd4XkSl1FqYo54pIPSTt7e2xefNmvPDCC9VuT0pKgp+fHy5evNjEyRomJCQEGRkZ2LdvH6ysrCpsKy4uhl6vh7OzsyL6EgNiX3spkYWFBXJycoQo/Hl5eSEhIQGPPPIIgoKCEBwcjK5du8odq8FE2Q8AKCwsRFJSknmWXFpaGlxdXaHRaKDVaqHRaBTTX3Lt2rXQ6XRwdXWVOwrdJRb+SBanT59GZGQk1q9fj/z8fHh5eWHnzp1yx6oXUQpMIhUxy7ty5QoyMjIgSRK6dOnS7BuYV6ZWq+Hj41PhrsDyiouLERsby8IfEcQaOC9PqUVMkfriiUypx1d1lLovIp0rohQAALGKACK9LyJS+vKYopwrIvWQFKVgduHCBfTu3RstW7bE5MmT4ebmBgA4ceIEIiIiUFxcjCNHjrA/HjWKWq3GpUuXhCj8DRkyBCEhIRg8eHCtn8PNnSj7UZ1r164hOTnZ3O8vPT0dXbp0wbFjx+SORvcRFv5IVqWlpdi1axcMBoNiCn93KL3ABIhTxBQJ7wokqh+RBs4BMYqYIvXFE40Ix9cdIuyLSOeKKAUAQKwigEjvi0hEmYUp0rkiCpEKZllZWZg0aRK+//77CmMUXl5eWL16dY2tSoiImpOysjKkpqYiISEBCQkJSE5ORlFREW/ipybFwh8RCVHEJKL7i0gD56IUMTkQ2DyJcnwB4uyLSOeKSPsiEr4vzQ9nYdK/TbSC2ZUrV3DmzBkAgIuLCx566CGZExER1aysrAxHjhwxL/X5448/orCwEPb29tDpdOYfR0dHuaPSfYSFPyIiIlIckQY1RSpiUvMj0vEl0r4Q0f2FszCpqbBgRkTU9B544AEUFhaiQ4cO0Gq10Gq10Ol0cHZ2ljsa3cdayB2AiIiIqKGMRqPcEe6ZoKCgehUxiRpDpONLpH0hovsLP7+oqdjZ2eGZZ56ROwYR0X3lo48+gk6ng6urq9xRiMw444+IiIiIiIiIiIiIiIhIAGq5AxARERERERERERERERHR3WPhj4iIiIiIiIiIiIiIiEgALPwRERERERERERERERERCYCFPyIiIiIiIiIiIiIiIiIBsPBHREREREREREREREREJAAW/oiIiIiIiAgAcPnyZbz55ptwcHBAy5Yt0b59e+j1ehw8eBAAoFKpsH379gb/XicnJ6xYseLehiUiIiIiIqIqWsgdgIiIiIiIiJqH4cOHo6SkBF9++SUef/xx5ObmYv/+/cjLy5M7GhEREREREdWDSpIkSe4QREREREREJK/8/HzY2dkhMTERGo2mynYnJyecO3fO/NjR0RHZ2dnIzMzEjBkzcOjQIRQWFqJbt25YtGgRBgwYAADQarUwmUwVftedy9CUlBTMmTMHqampaNeuHYYNG4ZFixahTZs2/+KeEhERERERiYtLfRIRERERERFsbGxgY2OD7du3o7i4uMr21NRUAEBUVBRycnLMjwsKCjBo0CD88MMP+OWXX6DX6/Hyyy/j/PnzAIDo6Gg89thjCA8PR05ODnJycgAAv/76K/R6PV555RUcPXoUmzdvRnJyMqZMmdJEe0xERERERCQezvgjIiIiIiIiAMC2bdvwxhtv4MaNG+jVqxc0Gg38/Pzw5JNPArjd4y8mJga+vr61/p4ePXpg4sSJ5iKek5MTpk2bhmnTpplfExQUhFatWmHt2rXm55KTk6HRaFBYWAhra+t7vn9ERERERESi44w/IiIiIiIiAnC7x98ff/yBnTt3Qq/XIzExEb169YLRaKzx3yksLMTbb7+N7t27w9bWFjY2Njh16pR5xl9NfvrpJxiNRvNMQxsbG+j1epSVlSErK+se7xkREREREdH9oYXcAYiIiIiIiKj5sLa2hpeXF7y8vLBgwQK8/vrrePfddzF27NhqXz9r1izExcVh6dKlcHFxQatWrTBixAjcvHmz1v9OWVkZ3nzzTYSGhlbZ5uDgcC92hYiIiIiI6L7Dwh8RERERERHVqHv37ti+fTsAwNLSEqWlpRW2JyUlYezYsRg2bBiA2z3/srOzK7zGysqqyr/Xq1cvHD9+HC4uLv9adiIiIiIiovsNl/okIiIiIiIi/P333/D09MTXX3+No0ePIisrC99++y2WLFmCoUOHArjdq2///v24dOkSrly5AgBwcXFBdHQ00tLSkJ6ejlGjRqGsrKzC73ZycsKBAwdw8eJF/PXXXwCA2bNn4+DBg5g8eTLS0tJw5swZ7Ny5E1OnTm3aHSciIiIiIhIIC39EREREREQEGxsbPPvss1i+fDn69++Pnj17Yv78+XjjjTewevVqAMDHH3+Mffv2oVOnTnB3dwcALF++HHZ2dnj++efx8ssvQ6/Xo1evXhV+d3h4OLKzs+Hs7IxHHnkEAPDkk0/CZDLhzJkz6NevH9zd3TF//nx06NChaXeciIiIiIhIICpJkiS5QxARERERERERERERERHR3eGMPyIiIiIiIiIiIiIiIiIBsPBHREREREREREREREREJAAW/oiIiIiIiIiIiIiIiIgEwMIfERERERERERERERERkQBY+CMiIiIiIiIiIiIiIiISAAt/RERERERERERERERERAJg4Y+IiIiIiIiIiIiIiIhIACz8EREREREREREREREREQmAhT8iIiIiIiIiIiIiIiIiAbDwR0RERERERERERERERCQAFv6IiIiIiIiIiIiIiIiIBPD/tD7yKKjP1ksAAAAASUVORK5CYII=", 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "# === Load the old and new hydrofrac_policy data ===\n", - "df_old = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\old and new data comparison\\old ReEDS input\\hydrofrac_policy0.csv\")\n", - "df_new = pd.read_csv(r\"C:\\ReEDS\\ReEDS_Input_Processing\\state_policies\\outputs\\hydrofrac_policy.csv\")\n", - "\n", - "# === Sort and merge by state for alignment ===\n", - "df_old = df_old.sort_values(\"st\")\n", - "df_new = df_new.sort_values(\"st\")\n", - "df_merged = pd.merge(df_old, df_new, on=\"st\", how=\"inner\", suffixes=(\"_old\", \"_new\"))\n", - "\n", - "# === Bar positions with added spacing ===\n", - "x = np.arange(len(df_merged['st'])) * 1.5\n", - "width = 0.6\n", - "\n", - "# === RPS_All Plot with bar rim ===\n", - "fig_rps, ax_rps = plt.subplots(figsize=(18, 6))\n", - "ax_rps.bar(x - width/2, df_merged['RPS_All_old'], width=width, label='RPS_All (old in 2022)',\n", - " color='C0', edgecolor='black', linewidth=0.6, zorder=3)\n", - "ax_rps.bar(x + width/2, df_merged['RPS_All_new'], width=width, label='RPS_All (new in 2023)',\n", - " color='C3', edgecolor='black', linewidth=0.6, zorder=3)\n", - "ax_rps.set_title(\"Hydrofrac Policy - RPS_All Comparison\")\n", - "ax_rps.set_xlabel(\"State\")\n", - "ax_rps.set_ylabel(\"Fraction\")\n", - "ax_rps.set_xticks(x)\n", - "ax_rps.set_xticklabels(df_merged['st'], rotation=90)\n", - "ax_rps.legend()\n", - "ax_rps.grid(True, axis='y', zorder=0)\n", - "plt.tight_layout()\n", - "\n", - "# === CES Plot with bar rim ===\n", - "fig_ces, ax_ces = plt.subplots(figsize=(18, 6))\n", - "ax_ces.bar(x - width/2, df_merged['CES_old'], width=width, label='CES (old in 2022)',\n", - " color='C0', edgecolor='black', linewidth=0.6, zorder=3)\n", - "ax_ces.bar(x + width/2, df_merged['CES_new'], width=width, label='CES (new in 2023)',\n", - " color='C3', edgecolor='black', linewidth=0.6, zorder=3)\n", - "ax_ces.set_title(\"Hydrofrac Policy - CES Comparison\")\n", - "ax_ces.set_xlabel(\"State\")\n", - "ax_ces.set_ylabel(\"Fraction\")\n", - "ax_ces.set_xticks(x)\n", - "ax_ces.set_xticklabels(df_merged['st'], rotation=90)\n", - "ax_ces.legend()\n", - "ax_ces.grid(True, axis='y', zorder=0)\n", - "plt.tight_layout()\n", - "\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "base", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/state_policies/outputs/ces_fraction.csv b/state_policies/outputs/ces_fraction.csv index a5c6f75..2160238 100644 --- a/state_policies/outputs/ces_fraction.csv +++ b/state_policies/outputs/ces_fraction.csv @@ -13,33 +13,33 @@ 2021,CA,0.3465638403013428 2022,CA,0.3736869734939639 2023,CA,0.3994319697443771 -2024,CA,0.4255409060044586 -2025,CA,0.4545624133114485 -2026,CA,0.47704506282779224 -2027,CA,0.5029160938555973 -2028,CA,0.5488462160521055 -2029,CA,0.5947763382486135 -2030,CA,0.6407064604451216 -2031,CA,0.6866365826416297 -2032,CA,0.7325667048381379 -2033,CA,0.778496827034646 -2034,CA,0.824426949231154 -2035,CA,0.8703570714276622 -2036,CA,0.8800196456479198 -2037,CA,0.8896822198681774 -2038,CA,0.899344794088435 -2039,CA,0.9090073683086927 -2040,CA,0.9186699425289503 -2041,CA,0.9283325167492079 -2042,CA,0.9379950909694655 -2043,CA,0.9476576651897232 -2044,CA,0.9573202394099808 -2045,CA,0.9669828136302384 -2046,CA,0.9669791518266492 -2047,CA,0.9669754900230598 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2012,WI,0.0591834384407227,0.0,0.0 @@ -1278,33 +1278,33 @@ t,st,rps_all,rps_solar,rps_wind 2021,WI,0.0996478954269228,0.0,0.0 2022,WI,0.0982793332745238,0.0,0.0 2023,WI,0.10051169073772,0.0,0.0 -2024,WI,0.1006357502177091,0.0,0.0 -2025,WI,0.10031225563614504,0.0,0.0 -2026,WI,0.10021253808535757,0.0,0.0 -2027,WI,0.1001128205345701,0.0,0.0 -2028,WI,0.10001310298378263,0.0,0.0 -2029,WI,0.09991338543299515,0.0,0.0 -2030,WI,0.09981366788220768,0.0,0.0 -2031,WI,0.0997139503314202,0.0,0.0 -2032,WI,0.09961423278063274,0.0,0.0 -2033,WI,0.09951451522984525,0.0,0.0 -2034,WI,0.09941479767905778,0.0,0.0 -2035,WI,0.09931508012827031,0.0,0.0 -2036,WI,0.09921536257748284,0.0,0.0 -2037,WI,0.09911564502669536,0.0,0.0 -2038,WI,0.09901592747590789,0.0,0.0 -2039,WI,0.09891620992512042,0.0,0.0 -2040,WI,0.09881649237433295,0.0,0.0 -2041,WI,0.09871677482354546,0.0,0.0 -2042,WI,0.09861705727275799,0.0,0.0 -2043,WI,0.09851733972197052,0.0,0.0 -2044,WI,0.09841762217118305,0.0,0.0 -2045,WI,0.09831790462039557,0.0,0.0 -2046,WI,0.0982181870696081,0.0,0.0 -2047,WI,0.09811846951882063,0.0,0.0 -2048,WI,0.09801875196803315,0.0,0.0 -2049,WI,0.09791903441724567,0.0,0.0 -2050,WI,0.0978193168664582,0.0,0.0 +2024,WI,0.1014609837056052,0.0,0.0 +2025,WI,0.10040446951383702,0.0,0.0 +2026,WI,0.10035085890189555,0.0,0.0 +2027,WI,0.10029724828995405,0.0,0.0 +2028,WI,0.10024363767801257,0.0,0.0 +2029,WI,0.10021697427907,0.0,0.0 +2030,WI,0.1001364164541296,0.0,0.0 +2031,WI,0.10008280584218812,0.0,0.0 +2032,WI,0.10002919523024663,0.0,0.0 +2033,WI,0.09997558461830515,0.0,0.0 +2034,WI,0.09992197400636367,0.0,0.0 +2035,WI,0.09986836339442218,0.0,0.0 +2036,WI,0.0998147527824807,0.0,0.0 +2037,WI,0.0997611421705392,0.0,0.0 +2038,WI,0.09970753155859773,0.0,0.0 +2039,WI,0.09965392094665623,0.0,0.0 +2040,WI,0.09960031033471475,0.0,0.0 +2041,WI,0.09954669972277327,0.0,0.0 +2042,WI,0.09949308911083178,0.0,0.0 +2043,WI,0.0994394784988903,0.0,0.0 +2044,WI,0.09938586788694881,0.0,0.0 +2045,WI,0.09933225727500733,0.0,0.0 +2046,WI,0.09927864666306585,0.0,0.0 +2047,WI,0.09922503605112436,0.0,0.0 +2048,WI,0.09917142543918288,0.0,0.0 +2049,WI,0.09911781482724139,0.0,0.0 +2050,WI,0.0990642042152999,0.0,0.0 2010,voluntary,0.0099084811842064,0.0,0.0 2011,voluntary,0.0119799330238847,0.0,0.0 2012,voluntary,0.0146484917483749,0.0,0.0 From c9540ad773793e3fcb1cb7e033a69dc017e4244a Mon Sep 17 00:00:00 2001 From: Yunzhi-Chen Date: Mon, 22 Jun 2026 16:35:06 -0600 Subject: [PATCH 02/16] update --- state_policies/README.md | 10 +++--- state_policies/data_processing.py | 29 ++++++++---------- ...PS & CES Targets and Demand_June 2026.xlsx | Bin 0 -> 207317 bytes .../inputs/RPS data for NREL_June 2026.xlsx | Bin 201978 -> 0 bytes state_policies/outputs/hydrofrac_policy.csv | 2 +- 5 files changed, 20 insertions(+), 21 deletions(-) create mode 100644 state_policies/inputs/RPS & CES Targets and Demand_June 2026.xlsx delete mode 100644 state_policies/inputs/RPS data for NREL_June 2026.xlsx diff --git a/state_policies/README.md b/state_policies/README.md index 0952f48..8b0be98 100644 --- a/state_policies/README.md +++ b/state_policies/README.md @@ -33,8 +33,7 @@ All located in `inputs/`: | Input | Description | | --- | --- | -| `RPS data for NREL_June 2026.xlsx` | Annual LBNL state RPS / CES dataset, provided by Galen Barbose. Source: https://emp.lbl.gov/projects/renewables-portfolio. The script reads three sheets: `Statewide Sales`, `RPS & CES Demand (GWh)`, and (currently from the previous-year file — see note below) `Non-RE Accounting`. | -| `RPS data for NREL_June 2025.xlsx` | Previous-year LBNL file. Retained because the June 2026 LBNL release removed the `Non-RE Accounting` sheet (only national totals remain there now). The script falls back to this 2025 file just for the state-level hydro / MSW / non-RE accounting numbers. The underlying values come from compliance reports and IRPs that change slowly, so this is a reasonable interim. Update this if/when LBNL re-releases a state-level version. | +| `RPS & CES Targets and Demand_June 2026.xlsx` | Annual LBNL state RPS / CES dataset, provided by Galen Barbose. Source: https://emp.lbl.gov/projects/renewables-portfolio. The script reads four sheets from this file: `Statewide Sales`, `RPS & CES Demand (GWh)`, and `Non-RE Accounting`. Note: starting with the June 2026 release LBNL no longer publishes the `Non-RE Accounting` sheet in the public workbook. Galen sends it separately to NREL, and we paste it back into this file as the `Non-RE Accounting` tab so the workbook is self-contained. | | `nrel-green-power-data-v2023.xlsx` | NREL Green Power Data, used for the voluntary RPS row. Source: https://www.nrel.gov/analysis/green-power. | | `RPS_nonUS.csv` | Non-US RPS data provided by the ReEDS team (currently only Nova Scotia, `NS`). | | `hierarchy.csv` | Region hierarchy from a recent ReEDS Reference run, used to map BAs to states for the hydrofrac calculation. | @@ -47,12 +46,15 @@ a new release: 1. Download the new LBNL RPS dataset from https://emp.lbl.gov/projects/renewables-portfolio and place it in - `inputs/` (e.g. `RPS data for NREL_June 2026.xlsx`). + `inputs/` (e.g. `RPS & CES Targets and Demand_June 2026.xlsx`). Since + June 2026, the public workbook no longer contains the `Non-RE Accounting` + sheet — request it from Galen Barbose and paste it back into the workbook + as a sheet named `Non-RE Accounting`. 2. Open `data_processing.py` and update the parameters at the top of the file: - `filename` — point to the new file. - `Salessheetname`, `Salessheet_usecols`, `Salessheet_skiprows`, `Salessheet_nrows` — match the new sheet's name and header layout. - `RPSsheetname`, `RPSsheet_usecols`, `RPSsheet_skiprows`, `RPSsheet_nrows` — match the new sheet's name and header layout. - - If LBNL restores a state-level `Non-RE Accounting` sheet, set `filename_hydrofrac = filename` and re-check `Hydrosheet_*` parameters. + - `Hydrosheet_*` — re-check the row counts on the `Non-RE Accounting` sheet (e.g. whether a totals row was added at the bottom of the RPS block). - Confirm `hydro_year` is still appropriate for the latest ReEDS Reference run. 3. (Optional, but recommended for PR review) Stage the previous run's outputs for comparison. From `state_policies/`: diff --git a/state_policies/data_processing.py b/state_policies/data_processing.py index 42fd816..a73abc0 100644 --- a/state_policies/data_processing.py +++ b/state_policies/data_processing.py @@ -11,13 +11,17 @@ ### ===========Load Input Data================= ### =========================================== -### Input `RPS data for NREL_June 2026.xlsx` file and convert it to a DataFrame +### Input `RPS & CES Targets and Demand_June 2026.xlsx` file and convert it to a DataFrame ### If update the input file, please make sure the below table parameters are updated accordingly. ### This file is provided annually by Galen Barbose at LBNL and downloaded from ### https://emp.lbl.gov/projects/renewables-portfolio +### Note: in the June 2026 release LBNL split the `Non-RE Accounting` sheet out +### of the public workbook. Galen provided that sheet directly to NREL and we +### merged it back into this file as the `Non-RE Accounting` tab, so the layout +### matches the previous all-in-one release. ### ---------------------------------------------------------------------------- -filename = os.path.join("inputs", "RPS data for NREL_June 2026.xlsx") +filename = os.path.join("inputs", "RPS & CES Targets and Demand_June 2026.xlsx") # `Statewide Sales` sheet as sales data and `RPS & CES Demand (GWh)` sheet for RPS and CES data # are used to calculate `rps_fraction` and `ces_fraction`. @@ -37,23 +41,16 @@ ### Hydro / Non-RE Accounting input ### ----------------------------------------------------------------------------- -### The state-level hydro / MSW / non-RE accounting data used for the hydrofrac -### calculation lived on the `Non-RE Accounting` sheet of the previous LBNL -### release. That sheet was removed in the June 2026 release (only aggregate, -### national-level totals remain). Until LBNL provides an updated state-level -### source for this accounting, we continue to read this from the June 2025 -### file. The underlying values (state-by-state hydro/MSW serving RPS, plus -### existing nuclear/hydro serving CES) come from compliance reports, IRPs, -### and similar sources that change slowly year-to-year, so this is a -### reasonable interim approach. Update this filename if/when LBNL re-releases -### a state-level version. -filename_hydrofrac = os.path.join("inputs", "RPS data for NREL_June 2025.xlsx") - +### Read from the same workbook as the RPS/CES targets. The `Non-RE Accounting` +### sheet provides state-by-state GWh of existing hydro / MSW / non-RE +### generation that already counts toward each state's RPS, plus existing hydro +### / nuclear that counts toward each state's CES. Layout is identical to the +### previous LBNL release, so the skiprows/usecols/nrows below are unchanged. Hydrosheetname = "Non-RE Accounting" Hydrosheet_RPS_usecols = "A:E" Hydrosheet_RPS_skiprows = 2 -Hydrosheet_RPS_nrows = 33 +Hydrosheet_RPS_nrows = 32 Hydrosheet_CES_usecols = "A:D" Hydrosheet_CES_skiprows = 39 @@ -460,7 +457,7 @@ def piecewise_interpolate(series, base_year, tolerance): ) calculate_hydrofrac( - main_excel_file=filename_hydrofrac, + main_excel_file=filename, gen_df=gen, hierarchy_df=hierarchy ) diff --git a/state_policies/inputs/RPS & CES Targets and Demand_June 2026.xlsx b/state_policies/inputs/RPS & CES Targets and Demand_June 2026.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..08e5d7bf00d3fe2ac8c7871fa1858da632358e62 GIT binary patch literal 207317 zcmeFWV~}P+ur1n}Hs@>G)3$AU+P3wzyQgj2wr$(iv~AmbbMARB;=XwI#(DqGtsk`` za<8hLJEL-CW~G8OI0PyPBnUJJ2nZ1f-b69k0w@SbDGUe*00bILOW4lV$;8%4Pubnx z#8HRN&BmHA9|DXb7X<7d{{M{s#uk`VUANq4K=#sG@nP`LF)Z4Ila`zh>FVv*g|*?= zH;l4D(fEnoB>UwpUaplK&j!R>>3kt}pXS82ax!)4zLEh(_%${-0+r-M{hA%5)=lZE 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Source: https://emp.lbl.gov/projects/renewables-portfolio. The script reads four sheets from this file: `Statewide Sales`, `RPS & CES Demand (GWh)`, and `Non-RE Accounting`. Note: starting with the June 2026 release LBNL no longer publishes the `Non-RE Accounting` sheet in the public workbook. Galen sends it separately to NREL, and we paste it back into this file as the `Non-RE Accounting` tab so the workbook is self-contained. | -| `nrel-green-power-data-v2023.xlsx` | NREL Green Power Data, used for the voluntary RPS row. Source: https://www.nrel.gov/analysis/green-power. | +| `nrel-green-power-data-v2024.xlsx` | NLR Green Power Data (formerly NREL), used for the voluntary RPS row. Source: https://www.nlr.gov/analysis/voluntary-power-procurement. | | `RPS_nonUS.csv` | Non-US RPS data provided by the ReEDS team (currently only Nova Scotia, `NS`). | | `hierarchy.csv` | Region hierarchy from a recent ReEDS Reference run, used to map BAs to states for the hydrofrac calculation. | | `gen_ann.csv` | Annual generation by tech and BA from a recent ReEDS Reference run, used to compute hydro / non-RE shares for the hydrofrac calculation. | @@ -56,18 +56,27 @@ a new release: - `RPSsheetname`, `RPSsheet_usecols`, `RPSsheet_skiprows`, `RPSsheet_nrows` — match the new sheet's name and header layout. - `Hydrosheet_*` — re-check the row counts on the `Non-RE Accounting` sheet (e.g. whether a totals row was added at the bottom of the RPS block). - Confirm `hydro_year` is still appropriate for the latest ReEDS Reference run. -3. (Optional, but recommended for PR review) Stage the previous run's outputs +3. Check https://www.nlr.gov/analysis/voluntary-power-procurement for a newer + NLR Green Power Data release (e.g. `nrel-green-power-data-v2025.xlsx`). If a + newer file exists, download it into `inputs/`, update `filename_voluntary` in + `data_processing.py`, and bump `Voluntarysheet_nrows` to match the number of + historical years in the new file. Also update the hardcoded `<= 2024` year + cap in the voluntary projection block (search for `rps_series[rps_series['t'] + <= 2024]`) to the new last historical year. The NLR file is updated on a + different schedule from the LBNL workbook, so this step is independent and + may be skipped if no newer NLR release is available. +4. (Optional, but recommended for PR review) Stage the previous run's outputs for comparison. From `state_policies/`: ``` copy outputs\rps_fraction.csv "old and new data comparison\old ReEDS input\rps_fraction0.csv" copy outputs\ces_fraction.csv "old and new data comparison\old ReEDS input\ces_fraction0.csv" copy outputs\hydrofrac_policy.csv "old and new data comparison\old ReEDS input\hydrofrac_policy0.csv" ``` -4. Run the processing script: +5. Run the processing script: ``` python data_processing.py ``` -5. Generate before/after comparison plots: +6. Generate before/after comparison plots: ``` cd "old and new data comparison" python generate_comparison_plots.py @@ -78,7 +87,6 @@ a new release: `hydrofrac_RPS_All_comparison.png`, and `hydrofrac_CES_comparison.png`. Attach these to the PR so reviewers can see what changed. - # Output files Located in `outputs/`. These are the files that get copied into ReEDS: diff --git a/state_policies/data_processing.py b/state_policies/data_processing.py index a73abc0..92d5b68 100644 --- a/state_policies/data_processing.py +++ b/state_policies/data_processing.py @@ -58,11 +58,11 @@ ### Input voluntary RPS data which is downloaded from NLR Green Power Data ### If update the input file, please make sure the below table parameters are updated accordingly. -### https://www.nlr.gov/analysis/green-power +### https://www.nlr.gov/analysis/voluntary-power-procurement ### ----------------------------------------------------------------------------- # These data are used to calculate voluntary RPS fraction and will be appended to `rps_fraction.csv` -filename_voluntary = os.path.join("inputs", "nrel-green-power-data-v2023.xlsx") +filename_voluntary = os.path.join("inputs", "nrel-green-power-data-v2024.xlsx") Voluntarysheetname = "Marketwide Estimates" Voluntarysheet_usecols = "A:C" Voluntarysheet_skiprows = 2 @@ -188,7 +188,7 @@ def calculate_solar_wind(RPS_reshaped, In_Retail_Sales, tech): RPStarget.columns = ['t', 'st', 'rps_all', 'rps_solar', 'rps_wind'] # Append voluntary RPS data - # Use 2010-2023 data as historical data + # Use 2010-2024 data as historical data # and project future data until 2050 using the minimum absolute growth rate from historical data. voluntary_data = pd.read_excel(voluntary_file, sheet_name=Voluntarysheetname, usecols=Voluntarysheet_usecols, skiprows=Voluntarysheet_skiprows, nrows=Voluntarysheet_nrows) voluntary_data = voluntary_data.rename(columns={'Year': 'Year'}) @@ -202,7 +202,7 @@ def calculate_solar_wind(RPS_reshaped, In_Retail_Sales, tech): voluntary_data_historical = voluntary_data_historical[['t', 'st', 'rps_all']].assign(rps_solar=0.0, rps_wind=0.0) rps_series = voluntary_data_historical[['t', 'rps_all']].dropna() - rps_series = rps_series[rps_series['t'] <= 2023].sort_values('t') + rps_series = rps_series[rps_series['t'] <= 2024].sort_values('t') min_growth = rps_series['rps_all'].diff().min() last_year = rps_series['t'].max() diff --git a/state_policies/inputs/nrel-green-power-data-v2024.xlsx b/state_policies/inputs/nrel-green-power-data-v2024.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..12e35073d92208756004483b4782388880b2ca7c GIT binary patch literal 78864 zcmeFXRd5_jlr1V|mMn{zC5xG5G23EhW@fUOnc1?yV&)bzGcz-^nDzRcxi9X#m^;7k zXKqDDR!3E4?#c~oubovtWFeujz+k}Oz`(#r!2%m1oW{Vx!0O?_z%aq!Ahbp8?OaUl zT=Z2u9Za2d89i)mND81JX!5}zK>h#k@jqAt+VvQ2M1J-PpLi^sL!&x^0P z`FFPE_$r;6tI5A2zl;5tC#~a9C89@M6>vm-F4BgZQ4%Y zE`5AIYs-f%W1MrbMiJ>}Qu%WW4UZ_bwB^#`n=z2zYny>;Cz*M_=1@D@hqI$I6YvL} zRwy#(A;I*^SL@B9ePZx}^XW*9c*!(!WN3ON!BA{KJpBxrim4~+PBl#41N(~30{{2| zvUybHRLYdK@|;D4BE=H6F0T@VL((*@3OO;WwiK^>A2wM-x>c1_=fN3V?<<+HGq-}u zd)~22vjGb{Wg?g~c$lXfuBh;ytkygia49F|7ZXA`<&0JM!6j7G0_%@LsxOHQZ&)Lk zWimA7A4CD{WD+@&ty@gwsTMEFUIH4Abx{+#qM~BWX)cmg#$?`RIbsgrA2}a4xL(R=l!uFEl&g$ZG;cai) zGKW`TDP#*}PT8x8sBhB5E4b_CnRSX<{?fB1=u4CPXMcRGjmXO95uLtBLqMvsC9n;u 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state_policies/outputs/ces_fraction.csv | 1312 ++++---- state_policies/outputs/hydrofrac_policy.csv | 96 +- .../ces_fraction_intermediate.csv | 1312 ++++---- .../rps_fraction_intermediate.csv | 2694 ++++++++--------- state_policies/outputs/rps_fraction.csv | 2694 ++++++++--------- 6 files changed, 4070 insertions(+), 4058 deletions(-) diff --git a/state_policies/data_processing.py b/state_policies/data_processing.py index 92d5b68..54c76d4 100644 --- a/state_policies/data_processing.py +++ b/state_policies/data_processing.py @@ -7,6 +7,18 @@ print("...Starting data processing for RPS, CES and hydrofrac...") + +### Format numeric values written to CSV: 6 decimal places, except exactly 1 -> "1" +### and exactly 0 -> "0". Used as the `float_format` argument to `DataFrame.to_csv`. +def _format_value(x): + if pd.isna(x): + return '' + if x == 0: + return '0' + if x == 1: + return '1' + return f'{x:.6f}' + ### =========================================== ### ===========Load Input Data================= ### =========================================== @@ -223,7 +235,7 @@ def calculate_solar_wind(RPS_reshaped, In_Retail_Sales, tech): final_rps = final_rps[final_rps['t'] > 2009].sort_values(by=['st', 't']) output_path = os.path.join("outputs", "intermediate outputs", "rps_fraction_intermediate.csv") - final_rps.to_csv(output_path, index=False) + final_rps.to_csv(output_path, index=False, float_format=_format_value) print(f"...Intermediate RPS data processed and saved to {output_path}") ### Function to calculate CES fractions @@ -292,7 +304,7 @@ def calculate_ces_fraction(main_excel_file): # Save to CSV output_path = os.path.join("outputs", "intermediate outputs", "ces_fraction_intermediate.csv") - out_df.to_csv(output_path, index=False) + out_df.to_csv(output_path, index=False, float_format=_format_value) print(f"...Intermediate CES data processed and saved to {output_path}") ### Function to calculate hydro fractions in selected year @@ -344,7 +356,7 @@ def calculate_hydrofrac(main_excel_file, gen_df, hierarchy_df): # Format and save outdf = df_final[["State", "hydrofrac_RPS", "hydrofrac_CES"]].rename(columns={"State": "st", "hydrofrac_RPS": "RPS_All", "hydrofrac_CES": "CES"}) output_path = os.path.join("outputs", "hydrofrac_policy.csv") - outdf.sort_values("st").round(9).to_csv(output_path, index=False) + outdf.sort_values("st").round(9).to_csv(output_path, index=False, float_format=_format_value) print(f"...hydrofrac data generated and saved to {output_path}") @@ -411,7 +423,7 @@ def piecewise_interpolate(series, base_year, tolerance): df_out = pd.merge(df_out, df_interp_long, on=[index_col, state_col], how='left') df_out = df_out.sort_values([state_col, index_col]) - df_out.to_csv(output_path, index=False) + df_out.to_csv(output_path, index=False, float_format=_format_value) ### =========================================== diff --git a/state_policies/outputs/ces_fraction.csv b/state_policies/outputs/ces_fraction.csv index 2160238..2d448d0 100644 --- a/state_policies/outputs/ces_fraction.csv +++ b/state_policies/outputs/ces_fraction.csv @@ -1,657 +1,657 @@ *t,st,Value -2010,CA,0.1687749051001499 -2011,CA,0.1972831476489689 -2012,CA,0.1973249510477631 -2013,CA,0.1972417408310773 -2014,CA,0.2085368616184435 -2015,CA,0.2208675531454824 -2016,CA,0.2450391128521983 -2017,CA,0.2639269015853366 -2018,CA,0.2837526401864058 -2019,CA,0.3020471875734475 -2020,CA,0.3193346359114227 -2021,CA,0.3465638403013428 -2022,CA,0.3736869734939639 -2023,CA,0.3994319697443771 -2024,CA,0.4251381268688441 -2025,CA,0.4539572802253526 -2026,CA,0.476550441117778 -2027,CA,0.502256598242245 -2028,CA,0.5481266674894311 -2029,CA,0.593996736736617 -2030,CA,0.6398668059838031 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-2037,MI,0.88 -2038,MI,0.92 -2039,MI,0.96 -2040,MI,1.0 -2041,MI,1.0 -2042,MI,1.0 -2043,MI,1.0 -2044,MI,1.0 -2045,MI,1.0 -2046,MI,1.0 -2047,MI,1.0 -2048,MI,1.0 -2049,MI,1.0 -2050,MI,1.0 -2010,MN,0.1077267217713373 -2011,MN,0.1073142221098629 -2012,MN,0.147767768348589 -2013,MN,0.147322963700159 -2014,MN,0.1467455144049857 -2015,MN,0.1472124894077333 -2016,MN,0.2062775938662552 -2017,MN,0.2052946632876949 -2018,MN,0.2053075854704306 -2019,MN,0.2046966945443656 -2020,MN,0.2437567409282011 -2021,MN,0.2431047539143303 -2022,MN,0.2433406041418156 -2023,MN,0.1998288896678912 -2024,MN,0.2741686525484962 -2025,MN,0.34850841542910127 -2026,MN,0.42284817830970634 -2027,MN,0.49718794119031134 -2028,MN,0.5715277040709164 -2029,MN,0.6458674669515214 -2030,MN,0.7202072298321265 -2031,MN,0.7560117845668033 -2032,MN,0.79181633930148 -2033,MN,0.8276208940361568 -2034,MN,0.8634254487708335 -2035,MN,0.8992300035055103 -2036,MN,0.9192128924722994 -2037,MN,0.9391957814390886 -2038,MN,0.9591786704058778 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+2010,NV,0.073446 +2011,NV,0.090402 +2012,NV,0.089341 +2013,NV,0.108493 +2014,NV,0.108197 +2015,NV,0.129519 +2016,NV,0.131122 +2017,NV,0.131766 +2018,NV,0.132744 +2019,NV,0.130925 +2020,NV,0.167791 +2021,NV,0.181552 +2022,NV,0.228374 +2023,NV,0.228440 +2024,NV,0.271056 +2025,NV,0.302804 +2026,NV,0.339987 +2027,NV,0.377169 +2028,NV,0.401145 +2029,NV,0.425122 +2030,NV,0.452061 +2031,NV,0.473074 +2032,NV,0.497051 +2033,NV,0.521027 +2034,NV,0.545003 +2035,NV,0.568979 +2036,NV,0.592956 +2037,NV,0.616932 +2038,NV,0.640908 +2039,NV,0.664885 +2040,NV,0.688861 +2041,NV,0.712837 +2042,NV,0.736814 +2043,NV,0.760790 +2044,NV,0.784766 +2045,NV,0.808742 +2046,NV,0.832719 +2047,NV,0.856695 +2048,NV,0.880671 +2049,NV,0.904648 +2050,NV,0.928624 +2010,NY,0.237285 +2011,NY,0.248635 +2012,NY,0.261505 +2013,NY,0.262447 +2014,NY,0.273079 +2015,NY,0.280684 +2016,NY,0.283017 +2017,NY,0.292182 +2018,NY,0.291052 +2019,NY,0.307862 +2020,NY,0.341626 +2021,NY,0.355642 +2022,NY,0.362222 +2023,NY,0.404444 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+2043,OR,0.634021 +2044,OR,0.634022 +2045,OR,0.634024 +2046,OR,0.634025 +2047,OR,0.634026 +2048,OR,0.634028 +2049,OR,0.634029 +2050,OR,0.634030 +2010,VA,0 +2011,VA,0 +2012,VA,0 +2013,VA,0 +2014,VA,0 +2015,VA,0 +2016,VA,0 +2017,VA,0 +2018,VA,0 +2019,VA,0 +2020,VA,0 +2021,VA,0.275161 +2022,VA,0.273110 +2023,VA,0.289299 +2024,VA,0.302711 +2025,VA,0.316124 +2026,VA,0.329536 +2027,VA,0.342948 +2028,VA,0.356360 +2029,VA,0.369773 +2030,VA,0.383185 +2031,VA,0.402816 +2032,VA,0.422373 +2033,VA,0.437410 +2034,VA,0.454593 +2035,VA,0.472445 +2036,VA,0.497354 +2037,VA,0.515848 +2038,VA,0.537550 +2039,VA,0.559251 +2040,VA,0.581670 +2041,VA,0.603376 +2042,VA,0.625353 +2043,VA,0.647387 +2044,VA,0.669654 +2045,VA,0.697004 +2046,VA,0.700722 +2047,VA,0.704446 +2048,VA,0.708177 +2049,VA,0.711913 +2050,VA,0.715653 +2010,WA,0 +2011,WA,0 +2012,WA,0.024046 +2013,WA,0.023797 +2014,WA,0.024033 +2015,WA,0.024399 +2016,WA,0.074048 +2017,WA,0.071624 +2018,WA,0.074546 +2019,WA,0.074237 +2020,WA,0.128489 +2021,WA,0.126837 +2022,WA,0.125714 +2023,WA,0.131950 +2024,WA,0.255468 +2025,WA,0.378985 +2026,WA,0.502503 +2027,WA,0.626020 +2028,WA,0.749538 +2029,WA,0.873055 +2030,WA,0.996573 +2031,WA,0.996671 +2032,WA,0.996770 +2033,WA,0.996868 +2034,WA,0.996966 +2035,WA,0.997065 +2036,WA,0.997163 +2037,WA,0.997261 +2038,WA,0.997359 +2039,WA,0.997458 +2040,WA,0.997556 +2041,WA,0.997654 +2042,WA,0.997753 +2043,WA,0.997851 +2044,WA,0.997949 +2045,WA,0.998047 +2046,WA,0.998146 +2047,WA,0.998244 +2048,WA,0.998342 +2049,WA,0.998453 +2050,WA,0.998539 diff --git a/state_policies/outputs/hydrofrac_policy.csv b/state_policies/outputs/hydrofrac_policy.csv index b6d94fa..3a93fa1 100644 --- a/state_policies/outputs/hydrofrac_policy.csv +++ b/state_policies/outputs/hydrofrac_policy.csv @@ -1,49 +1,49 @@ st,RPS_All,CES -AL,0.0,0.0 -AR,0.0,0.0 -AZ,0.0,0.0 -CA,0.123024889,1.0 -CO,0.280634114,1.0 -CT,1.0,1.0 -DE,0.0,0.0 -FL,0.0,0.0 -GA,0.0,0.0 -HI,0.0,0.0 -IA,0.0,0.0 -ID,0.0,0.0 -IL,1.0,1.0 -IN,0.0,0.0 -KS,0.0,0.0 -KY,0.0,0.0 -LA,0.0,0.0 -MA,1.0,1.0 -MD,0.588592791,0.588592791 -ME,0.15927982,0.15927982 -MI,0.905071205,1.0 -MN,1.0,1.0 -MO,0.783530075,0.783530075 -MT,0.011194711,0.011194711 -NC,0.256900823,0.256900823 -ND,0.0,0.0 -NE,0.0,0.0 -NH,0.218553617,0.218553617 -NJ,0.0,0.0 -NM,0.0,0.0 -NV,1.0,1.0 -NY,1.0,1.0 -OH,0.0,0.0 -OK,0.0,0.0 -OR,0.064013777,0.064013777 -PA,0.254119216,0.254119216 -RI,1.0,1.0 -SC,0.0,0.0 -SD,0.0,0.0 -TN,0.0,0.0 -TX,0.0,0.0 -UT,0.0,0.0 -VA,1.0,1.0 -VT,0.986424202,0.986424202 -WA,0.01844678,0.01844678 -WI,0.005657298,0.005657298 -WV,0.0,0.0 -WY,0.0,0.0 +AL,0,0 +AR,0,0 +AZ,0,0 +CA,0.123025,1 +CO,0.280634,1 +CT,1,1 +DE,0,0 +FL,0,0 +GA,0,0 +HI,0,0 +IA,0,0 +ID,0,0 +IL,1,1 +IN,0,0 +KS,0,0 +KY,0,0 +LA,0,0 +MA,1,1 +MD,0.588593,0.588593 +ME,0.159280,0.159280 +MI,0.905071,1 +MN,1,1 +MO,0.783530,0.783530 +MT,0.011195,0.011195 +NC,0.256901,0.256901 +ND,0,0 +NE,0,0 +NH,0.218554,0.218554 +NJ,0,0 +NM,0,0 +NV,1,1 +NY,1,1 +OH,0,0 +OK,0,0 +OR,0.064014,0.064014 +PA,0.254119,0.254119 +RI,1,1 +SC,0,0 +SD,0,0 +TN,0,0 +TX,0,0 +UT,0,0 +VA,1,1 +VT,0.986424,0.986424 +WA,0.018447,0.018447 +WI,0.005657,0.005657 +WV,0,0 +WY,0,0 diff --git a/state_policies/outputs/intermediate outputs/ces_fraction_intermediate.csv b/state_policies/outputs/intermediate outputs/ces_fraction_intermediate.csv index d10d0d5..4407a9d 100644 --- a/state_policies/outputs/intermediate outputs/ces_fraction_intermediate.csv +++ b/state_policies/outputs/intermediate outputs/ces_fraction_intermediate.csv @@ -1,657 +1,657 @@ *t,st,Value -2010,CA,0.16877490510014997 -2011,CA,0.19728314764896898 -2012,CA,0.1973249510477631 -2013,CA,0.1972417408310773 -2014,CA,0.20853686161844356 -2015,CA,0.22086755314548248 -2016,CA,0.2450391128521983 -2017,CA,0.2639269015853366 -2018,CA,0.2837526401864058 -2019,CA,0.30204718757344756 -2020,CA,0.31933463591142275 -2021,CA,0.3465638403013428 -2022,CA,0.3736869734939639 -2023,CA,0.3994319697443771 -2024,CA,0.42496898944890815 -2025,CA,0.4539572802253526 -2026,CA,0.4752003937227058 -2027,CA,0.502256598242245 -2028,CA,0.5273655199995487 -2029,CA,0.5524738095507264 -2030,CA,0.5795131804264799 -2031,CA,0.5795073094782865 -2032,CA,0.5795000880897647 -2033,CA,0.5794927755923881 -2034,CA,0.579484577379244 -2035,CA,0.8692171522197333 -2036,CA,0.8692078357355485 -2037,CA,0.8691998141494927 -2038,CA,0.8691959549130753 -2039,CA,0.8691891866593094 -2040,CA,0.9174718106320874 -2041,CA,0.9174675569730322 -2042,CA,0.9174645749377903 -2043,CA,0.9174624515750923 -2044,CA,0.9174608491855216 -2045,CA,0.9657469984097429 -2046,CA,0.9657459893377796 -2047,CA,0.9657456865057541 -2048,CA,0.9657459624821111 -2049,CA,0.9657468456745983 -2050,CA,0.9657478940643938 -2010,CO,0.024734028353565255 -2011,CO,0.06133955536150373 -2012,CO,0.062493756879127074 -2013,CO,0.06282131671917882 -2014,CO,0.0626795588249282 -2015,CO,0.10716646120414378 -2016,CO,0.10658282365710797 -2017,CO,0.10626655699459203 -2018,CO,0.1068653636512738 -2019,CO,0.1049519529098173 -2020,CO,0.19409224522227936 -2021,CO,0.19408151439838536 -2022,CO,0.19501849444122887 -2023,CO,0.19396769864923336 -2024,CO,0.19612910745209208 -2025,CO,0.1959947964531434 -2026,CO,0.1971187951799265 -2027,CO,0.19726479863327803 -2028,CO,0.19790705420229338 -2029,CO,0.1985535781728475 -2030,CO,0.6390644126814599 -2031,CO,0.6467103488832315 -2032,CO,0.6546872055228867 -2033,CO,0.6625796551326777 -2034,CO,0.6729801567183596 -2035,CO,0.6820736143734425 -2036,CO,0.6909354150664699 -2037,CO,0.6990517734631698 -2038,CO,0.7037116443239356 -2039,CO,0.710196820231625 -2040,CO,0.7163087653267329 -2041,CO,0.7222530331557396 -2042,CO,0.7278031039952862 -2043,CO,0.7328917416544786 -2044,CO,0.7375922313325995 -2045,CO,0.742105945122993 -2046,CO,0.746380801486762 -2047,CO,0.7503052659154724 -2048,CO,0.753904727002242 -2049,CO,0.7571809894630532 -2050,CO,0.8790421500497642 -2010,CT,0.09999999999999999 -2011,CT,0.10999999999999999 -2012,CT,0.12 -2013,CT,0.12999671409482236 -2014,CT,0.14 -2015,CT,0.155 -2016,CT,0.17 -2017,CT,0.185 -2018,CT,0.21000000000000002 -2019,CT,0.23500000000000001 -2020,CT,0.25 -2021,CT,0.26499999999999996 -2022,CT,0.27999999999999997 -2023,CT,0.30000000000000004 -2024,CT,0.32000000000000006 -2025,CT,0.3400000000000001 -2026,CT,0.29 -2027,CT,0.3 -2028,CT,0.31000000000000005 -2029,CT,0.32 -2030,CT,0.3299999999999999 -2031,CT,0.32999999999999996 -2032,CT,0.33 -2033,CT,0.32999999999999996 -2034,CT,0.32999999999999996 -2035,CT,0.32999999999999996 -2036,CT,0.32999999999999996 -2037,CT,0.32999999999999996 -2038,CT,0.33000000000000007 -2039,CT,0.33 -2040,CT,1.0000000000000002 -2041,CT,1.0000000000000002 -2042,CT,1.0000000000000002 -2043,CT,1.0000000000000002 -2044,CT,1.0000000000000002 -2045,CT,1.0000000000000002 -2046,CT,1.0000000000000002 -2047,CT,1.0000000000000002 -2048,CT,1.0000000000000002 -2049,CT,1.0000000000000002 -2050,CT,1.0000000000000004 -2010,IL,0.02365493909794542 -2011,IL,0.03242537694259595 -2012,IL,0.03765699557159935 -2013,IL,0.04690451053980228 -2014,IL,0.05352513004350999 -2015,IL,0.05628625872635811 -2016,IL,0.04716161488691606 -2017,IL,0.05681819442888079 -2018,IL,0.06203446409942152 -2019,IL,0.1041021381810108 -2020,IL,0.15165833016114239 -2021,IL,0.1685921717595472 -2022,IL,0.17513247937322135 -2023,IL,0.19339766655289822 -2024,IL,0.20837430683441777 -2025,IL,0.21932422347895153 -2026,IL,0.21797913745857647 -2027,IL,0.24496536545372763 -2028,IL,0.2743771647028371 -2029,IL,0.3082961121103698 -2030,IL,0.33590550004028913 -2031,IL,0.36439473993779586 -2032,IL,0.36217124771475323 -2033,IL,0.35926632676844483 -2034,IL,0.35415121948248224 -2035,IL,0.3514969967365131 -2036,IL,0.34941549721832915 -2037,IL,0.34941331788291047 -2038,IL,0.3513565752607244 -2039,IL,0.35183759562959543 -2040,IL,0.3530144829208449 -2041,IL,0.44119696747737386 -2042,IL,0.44348331681751796 -2043,IL,0.44504237416968345 -2044,IL,0.44706260663874775 -2045,IL,0.4487494693645687 -2046,IL,0.44944712638838236 -2047,IL,0.4496231944359729 -2048,IL,0.44999066688353073 -2049,IL,0.45119628312112825 -2050,IL,0.9035109399174449 -2010,MA,0.10420318576053142 -2011,MA,0.1124310765171497 -2012,MA,0.12278348399095994 -2013,MA,0.11309524538245211 -2014,MA,0.12392756518287193 -2015,MA,0.13512569446478293 -2016,MA,0.148181607413599 -2017,MA,0.15738107990856606 -2018,MA,0.19210283227786637 -2019,MA,0.2071168804713299 -2020,MA,0.2369874531157784 -2021,MA,0.3883157278408332 -2022,MA,0.4277253226063012 -2023,MA,0.5249015469832451 -2024,MA,0.5437776389560777 -2025,MA,0.5598665378757292 -2026,MA,0.5772204072899181 -2027,MA,0.5949619289524328 -2028,MA,0.621574211446205 -2029,MA,0.6304449722774623 -2030,MA,0.6393157331087198 -2031,MA,0.6659280156024919 -2032,MA,0.6836695372650069 -2033,MA,0.7014110589275215 -2034,MA,0.7191525805900365 -2035,MA,0.7280233414212938 -2036,MA,0.7457648630838084 -2037,MA,0.7635063847463233 -2038,MA,0.7723771455775806 -2039,MA,0.7901186672400955 -2040,MA,0.7989894280713526 -2041,MA,0.8167309497338674 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-2015,AZ,0.029495322271437197,0.0,0.0 -2016,AZ,0.03524253449924454,0.0,0.0 -2017,AZ,0.04100700791689536,0.0,0.0 -2018,AZ,0.04655704522546701,0.0,0.0 -2019,AZ,0.05143277631300714,0.0,0.0 -2020,AZ,0.05873449002858846,0.0,0.0 -2021,AZ,0.06461958077880382,0.0,0.0 -2022,AZ,0.07059049254389885,0.0,0.0 -2023,AZ,0.07654150302273785,0.0,0.0 -2024,AZ,0.08242518911729266,0.0,0.0 -2025,AZ,0.08831270262567069,0.0,0.0 -2026,AZ,0.0,0.0,0.0 -2027,AZ,0.0,0.0,0.0 -2028,AZ,0.0,0.0,0.0 -2029,AZ,0.0,0.0,0.0 -2030,AZ,0.0,0.0,0.0 -2031,AZ,0.0,0.0,0.0 -2032,AZ,0.0,0.0,0.0 -2033,AZ,0.0,0.0,0.0 -2034,AZ,0.0,0.0,0.0 -2035,AZ,0.0,0.0,0.0 -2036,AZ,0.0,0.0,0.0 -2037,AZ,0.0,0.0,0.0 -2038,AZ,0.0,0.0,0.0 -2039,AZ,0.0,0.0,0.0 -2040,AZ,0.0,0.0,0.0 -2041,AZ,0.0,0.0,0.0 -2042,AZ,0.0,0.0,0.0 -2043,AZ,0.0,0.0,0.0 -2044,AZ,0.0,0.0,0.0 -2045,AZ,0.0,0.0,0.0 -2046,AZ,0.0,0.0,0.0 -2047,AZ,0.0,0.0,0.0 -2048,AZ,0.0,0.0,0.0 -2049,AZ,0.0,0.0,0.0 -2050,AZ,0.0,0.0,0.0 -2010,CA,0.16877490510014997,0.0,0.0 -2011,CA,0.19728314764896898,0.0,0.0 -2012,CA,0.1973249510477631,0.0,0.0 -2013,CA,0.1972417408310773,0.0,0.0 -2014,CA,0.20853686161844356,0.0,0.0 -2015,CA,0.22086755314548248,0.0,0.0 -2016,CA,0.2450391128521983,0.0,0.0 -2017,CA,0.2639269015853366,0.0,0.0 -2018,CA,0.2837526401864058,0.0,0.0 -2019,CA,0.30204718757344756,0.0,0.0 -2020,CA,0.31933463591142275,0.0,0.0 -2021,CA,0.3465638403013428,0.0,0.0 -2022,CA,0.3736869734939639,0.0,0.0 -2023,CA,0.3994319697443771,0.0,0.0 -2024,CA,0.42496898944890815,0.0,0.0 -2025,CA,0.4539572802253526,0.0,0.0 -2026,CA,0.4752003937227058,0.0,0.0 -2027,CA,0.502256598242245,0.0,0.0 -2028,CA,0.5273655199995487,0.0,0.0 -2029,CA,0.5524738095507264,0.0,0.0 -2030,CA,0.5795131804264799,0.0,0.0 -2031,CA,0.5795073094782865,0.0,0.0 -2032,CA,0.5795000880897647,0.0,0.0 -2033,CA,0.5794927755923881,0.0,0.0 -2034,CA,0.579484577379244,0.0,0.0 -2035,CA,0.579478101479822,0.0,0.0 -2036,CA,0.5794718904903655,0.0,0.0 -2037,CA,0.5794665427663284,0.0,0.0 -2038,CA,0.5794639699420502,0.0,0.0 -2039,CA,0.5794594577728729,0.0,0.0 -2040,CA,0.5794558803992129,0.0,0.0 -2041,CA,0.5794531938777046,0.0,0.0 -2042,CA,0.5794513104870254,0.0,0.0 -2043,CA,0.5794499694158477,0.0,0.0 -2044,CA,0.5794489573803295,0.0,0.0 -2045,CA,0.5794481990458458,0.0,0.0 -2046,CA,0.5794475936026676,0.0,0.0 -2047,CA,0.5794474119034524,0.0,0.0 -2048,CA,0.5794475774892667,0.0,0.0 -2049,CA,0.579448107404759,0.0,0.0 -2050,CA,0.5794487364386363,0.0,0.0 -2010,CO,0.024734028353565255,0.0,0.0 -2011,CO,0.06133955536150373,0.0,0.0 -2012,CO,0.062493756879127074,0.0,0.0 -2013,CO,0.06282131671917882,0.0,0.0 -2014,CO,0.0626795588249282,0.0,0.0 -2015,CO,0.10716646120414378,0.0,0.0 -2016,CO,0.10658282365710797,0.0,0.0 -2017,CO,0.10626655699459203,0.0,0.0 -2018,CO,0.1068653636512738,0.0,0.0 -2019,CO,0.1049519529098173,0.0,0.0 -2020,CO,0.19409224522227936,0.0,0.0 -2021,CO,0.19408151439838536,0.0,0.0 -2022,CO,0.19501849444122887,0.0,0.0 -2023,CO,0.19396769864923336,0.0,0.0 -2024,CO,0.19612910745209208,0.0,0.0 -2025,CO,0.1959947964531434,0.0,0.0 -2026,CO,0.1971187951799265,0.0,0.0 -2027,CO,0.19726479863327803,0.0,0.0 -2028,CO,0.19790705420229338,0.0,0.0 -2029,CO,0.1985535781728475,0.0,0.0 -2030,CO,0.1992767810708858,0.0,0.0 -2031,CO,0.20011288478754574,0.0,0.0 -2032,CO,0.2009972238739086,0.0,0.0 -2033,CO,0.20187220533495034,0.0,0.0 -2034,CO,0.2030252372227586,0.0,0.0 -2035,CO,0.2040333661634991,0.0,0.0 -2036,CO,0.2050158128943883,0.0,0.0 -2037,CO,0.2059156175785353,0.0,0.0 -2038,CO,0.2064322253258893,0.0,0.0 -2039,CO,0.20715119205629254,0.0,0.0 -2040,CO,0.20782878126034537,0.0,0.0 -2041,CO,0.20848778124222628,0.0,0.0 -2042,CO,0.20910307932231134,0.0,0.0 -2043,CO,0.2096672214877842,0.0,0.0 -2044,CO,0.21018833236330658,0.0,0.0 -2045,CO,0.2106887366841836,0.0,0.0 -2046,CO,0.2111626605293576,0.0,0.0 -2047,CO,0.21159773883703287,0.0,0.0 -2048,CO,0.21199678626544566,0.0,0.0 -2049,CO,0.2123600028910116,0.0,0.0 -2050,CO,0.21270667349685088,0.0,0.0 -2010,CT,0.09999999999999999,0.0,0.0 -2011,CT,0.10999999999999999,0.0,0.0 -2012,CT,0.12,0.0,0.0 -2013,CT,0.12999671409482236,0.0,0.0 -2014,CT,0.14,0.0,0.0 -2015,CT,0.155,0.0,0.0 -2016,CT,0.17,0.0,0.0 -2017,CT,0.185,0.0,0.0 -2018,CT,0.21000000000000002,0.0,0.0 -2019,CT,0.23500000000000001,0.0,0.0 -2020,CT,0.25,0.0,0.0 -2021,CT,0.26499999999999996,0.0,0.0 -2022,CT,0.27999999999999997,0.0,0.0 -2023,CT,0.30000000000000004,0.0,0.0 -2024,CT,0.32000000000000006,0.0,0.0 -2025,CT,0.3400000000000001,0.0,0.0 -2026,CT,0.29,0.0,0.0 -2027,CT,0.3,0.0,0.0 -2028,CT,0.31000000000000005,0.0,0.0 -2029,CT,0.32,0.0,0.0 -2030,CT,0.3299999999999999,0.0,0.0 -2031,CT,0.32999999999999996,0.0,0.0 -2032,CT,0.33,0.0,0.0 -2033,CT,0.32999999999999996,0.0,0.0 -2034,CT,0.32999999999999996,0.0,0.0 -2035,CT,0.32999999999999996,0.0,0.0 -2036,CT,0.32999999999999996,0.0,0.0 -2037,CT,0.32999999999999996,0.0,0.0 -2038,CT,0.33000000000000007,0.0,0.0 -2039,CT,0.33,0.0,0.0 -2040,CT,0.32999999999999996,0.0,0.0 -2041,CT,0.33,0.0,0.0 -2042,CT,0.33000000000000007,0.0,0.0 -2043,CT,0.33,0.0,0.0 -2044,CT,0.33000000000000007,0.0,0.0 -2045,CT,0.33000000000000007,0.0,0.0 -2046,CT,0.33,0.0,0.0 -2047,CT,0.33,0.0,0.0 -2048,CT,0.33000000000000007,0.0,0.0 -2049,CT,0.33000000000000007,0.0,0.0 -2050,CT,0.3300000000000001,0.0,0.0 -2010,DE,0.0238657619086165,8.369370246123667e-05,0.0 -2011,DE,0.033086030678666625,0.00011011295359251419,0.0 -2012,DE,0.045047764143171805,0.0011921182423830796,0.0 -2013,DE,0.05620201860620285,0.0024531118310906724,0.0 -2014,DE,0.06457789762359063,0.004690451222169979,0.0 -2015,DE,0.06733138489549113,0.0067554328399544875,0.0 -2016,DE,0.08070689902554279,0.008812713337107066,0.0 -2017,DE,0.09386041356065282,0.0108166128795416,0.0 -2018,DE,0.09918180357202894,0.01200779264411917,0.0 -2019,DE,0.1242746412535663,0.015207902502370026,0.0 -2020,DE,0.13857579463432654,0.01743326871121757,0.0 -2021,DE,0.13595411370563426,0.01833383895597513,0.0 -2022,DE,0.15074043781682592,0.020896398525505382,0.0 -2023,DE,0.1732302513423693,0.02438735279597559,0.0 -2024,DE,0.1672935077876221,0.02480025877494484,0.0 -2025,DE,0.17770953623882252,0.027125521800138344,0.0 -2026,DE,0.18766114254951924,0.029281306272006306,0.0 -2027,DE,0.19660022844463912,0.032029437036231456,0.0 -2028,DE,0.19800813014226326,0.03368095916779223,0.0 -2029,DE,0.20228341010876266,0.035710200014399514,0.0 -2030,DE,0.20730123081466273,0.037856619737088405,0.0 -2031,DE,0.2170363531082201,0.042185442041226706,0.0 -2032,DE,0.23312595589612806,0.04854812185633995,0.0 -2033,DE,0.2506623692525345,0.05512574982041777,0.0 -2034,DE,0.2680536199327891,0.061644302035718176,0.0 -2035,DE,0.2950031128138554,0.06996086135761148,0.0 -2036,DE,0.3222004227625043,0.0834450549658477,0.0 -2037,DE,0.323222171662159,0.08356118325798682,0.0 -2038,DE,0.32559799686852137,0.0840402003548534,0.0 -2039,DE,0.3243282261858439,0.08362559296393805,0.0 -2040,DE,0.32535073525317776,0.08376450855533217,0.0 -2041,DE,0.3261086374009667,0.08384969755977231,0.0 -2042,DE,0.3271750070369919,0.08402313901461286,0.0 -2043,DE,0.3278899283960245,0.08412284337417437,0.0 -2044,DE,0.32870067377140444,0.08425665973695919,0.0 -2045,DE,0.32900148327902196,0.08427209420555937,0.0 -2046,DE,0.32922734811245447,0.08427017329099215,0.0 -2047,DE,0.32999587747116815,0.08440737759546102,0.0 -2048,DE,0.33044531999261795,0.08447504357574039,0.0 -2049,DE,0.33101006958756507,0.08457815487911176,0.0 -2050,DE,0.33099465124481825,0.08454194003482822,0.0 -2010,IA,0.006508928355116569,0.0,0.0 -2011,IA,0.006479044944092172,0.0,0.0 -2012,IA,0.006471359094797316,0.0,0.0 -2013,IA,0.006326299221463118,0.0,0.0 -2014,IA,0.006266703131336814,0.0,0.0 -2015,IA,0.006273955113393255,0.0,0.0 -2016,IA,0.0061076339787871844,0.0,0.0 -2017,IA,0.0060463598818339325,0.0,0.0 -2018,IA,0.005776141703323264,0.0,0.0 -2019,IA,0.005795097120577281,0.0,0.0 -2020,IA,0.0058412481455814395,0.0,0.0 -2021,IA,0.005592393996294689,0.0,0.0 -2022,IA,0.005457166363598376,0.0,0.0 -2023,IA,0.005437474112025827,0.0,0.0 -2024,IA,0.005385009861536592,0.0,0.0 -2025,IA,0.0050505154981253415,0.0,0.0 -2026,IA,0.004941445557009273,0.0,0.0 -2027,IA,0.00501885806314005,0.0,0.0 -2028,IA,0.005007562344110734,0.0,0.0 -2029,IA,0.004999878924761544,0.0,0.0 -2030,IA,0.004984980913668336,0.0,0.0 -2031,IA,0.004968176744356563,0.0,0.0 -2032,IA,0.004934407069670834,0.0,0.0 -2033,IA,0.004893974798510401,0.0,0.0 -2034,IA,0.00482945326227519,0.0,0.0 -2035,IA,0.004758891901149451,0.0,0.0 -2036,IA,0.004685645776892722,0.0,0.0 -2037,IA,0.004613711306731312,0.0,0.0 -2038,IA,0.0045566980400271045,0.0,0.0 -2039,IA,0.004495207393463334,0.0,0.0 -2040,IA,0.004446799801808828,0.0,0.0 -2041,IA,0.004402263138651874,0.0,0.0 -2042,IA,0.004362772896800554,0.0,0.0 -2043,IA,0.004328772334774126,0.0,0.0 -2044,IA,0.00430266734475696,0.0,0.0 -2045,IA,0.004275921764982946,0.0,0.0 -2046,IA,0.004247000631754038,0.0,0.0 -2047,IA,0.004221559781894906,0.0,0.0 -2048,IA,0.004198846065835628,0.0,0.0 -2049,IA,0.0041800964108303544,0.0,0.0 -2050,IA,0.004160794673718549,0.0,0.0 -2010,IL,0.02365493909794542,0.0,0.0 -2011,IL,0.03242537694259595,0.0,0.0 -2012,IL,0.03765699557159935,0.0,0.0 -2013,IL,0.04690451053980228,0.0,0.0 -2014,IL,0.05352513004350999,0.0,0.0 -2015,IL,0.05628625872635811,0.0,0.0 -2016,IL,0.04716161488691606,0.0,0.0 -2017,IL,0.05681819442888079,0.0,0.0 -2018,IL,0.06203446409942152,0.0,0.0 -2019,IL,0.1041021381810108,0.0,0.0 -2020,IL,0.15165833016114239,0.0,0.0 -2021,IL,0.1685921717595472,0.014752258899075207,0.014752258899075207 -2022,IL,0.17513247937322135,0.04051920215304011,0.033152074488851005 -2023,IL,0.19339766655289822,0.05858600103602547,0.0479340008476572 -2024,IL,0.20837430683441777,0.07349902676935705,0.06013556735674667 -2025,IL,0.21932422347895153,0.08814259637002937,0.07211666975729676 -2026,IL,0.21797913745857647,0.10119214509395559,0.08279357325869094 -2027,IL,0.24496536545372763,0.11616220835772008,0.0950418068381346 -2028,IL,0.2743771647028371,0.13090899184241742,0.10710735696197789 -2029,IL,0.3082961121103698,0.1457684815477058,0.11926512126630476 -2030,IL,0.33590550004028913,0.1606004753715482,0.1314003889403576 -2031,IL,0.36439473993779586,0.17560063431737877,0.1436732462596735 -2032,IL,0.36217124771475323,0.17403578223352217,0.1423929127365181 -2033,IL,0.35926632676844483,0.17221357149471156,0.14090201304112762 -2034,IL,0.35415121948248224,0.16957645662881138,0.1387443736053911 -2035,IL,0.3514969967365131,0.16680570596551914,0.13647739578997017 -2036,IL,0.34941549721832915,0.16408174674473425,0.13424870188205526 -2037,IL,0.34941331788291047,0.16156814718889065,0.13219212042727416 -2038,IL,0.3513565752607244,0.15981212348974738,0.13075537376433877 -2039,IL,0.35183759562959543,0.15741758635366435,0.12879620701663447 -2040,IL,0.3530144829208449,0.1555245674961307,0.1272473734059251 -2041,IL,0.44119696747737386,0.15380942981495413,0.1258440789395079 -2042,IL,0.44348331681751796,0.1522899546833169,0.1246008720136229 -2043,IL,0.44504237416968345,0.1509875323571479,0.12353525374675736 -2044,IL,0.44706260663874775,0.15000026609530812,0.12272749044161572 -2045,IL,0.4487494693645687,0.14907881322227184,0.12197357445458602 -2046,IL,0.44944712638838236,0.1480336395059202,0.12111843232302559 -2047,IL,0.4496231944359729,0.14712329998921828,0.12037360908208765 -2048,IL,0.44999066688353073,0.14633902406425361,0.11973192877984386 -2049,IL,0.45119628312112825,0.14570238182994294,0.1192110396790442 -2050,IL,0.45175546995872246,0.1449858432208707,0.11862478081707602 -2010,KS,0.0,0.0,0.0 -2011,KS,0.07036047758206293,0.0,0.0 -2012,KS,0.07206912463735446,0.0,0.0 -2013,KS,0.07430519614856887,0.0,0.0 -2014,KS,0.07262776476014446,0.0,0.0 -2015,KS,0.0,0.0,0.0 -2016,KS,0.0,0.0,0.0 -2017,KS,0.0,0.0,0.0 -2018,KS,0.0,0.0,0.0 -2019,KS,0.0,0.0,0.0 -2020,KS,0.0,0.0,0.0 -2021,KS,0.0,0.0,0.0 -2022,KS,0.0,0.0,0.0 -2023,KS,0.0,0.0,0.0 -2024,KS,0.0,0.0,0.0 -2025,KS,0.0,0.0,0.0 -2026,KS,0.0,0.0,0.0 -2027,KS,0.0,0.0,0.0 -2028,KS,0.0,0.0,0.0 -2029,KS,0.0,0.0,0.0 -2030,KS,0.0,0.0,0.0 -2031,KS,0.0,0.0,0.0 -2032,KS,0.0,0.0,0.0 -2033,KS,0.0,0.0,0.0 -2034,KS,0.0,0.0,0.0 -2035,KS,0.0,0.0,0.0 -2036,KS,0.0,0.0,0.0 -2037,KS,0.0,0.0,0.0 -2038,KS,0.0,0.0,0.0 -2039,KS,0.0,0.0,0.0 -2040,KS,0.0,0.0,0.0 -2041,KS,0.0,0.0,0.0 -2042,KS,0.0,0.0,0.0 -2043,KS,0.0,0.0,0.0 -2044,KS,0.0,0.0,0.0 -2045,KS,0.0,0.0,0.0 -2046,KS,0.0,0.0,0.0 -2047,KS,0.0,0.0,0.0 -2048,KS,0.0,0.0,0.0 -2049,KS,0.0,0.0,0.0 -2050,KS,0.0,0.0,0.0 -2010,MA,0.07406176839178266,0.0006013446082337743,0.0 -2011,MA,0.08239223927974329,0.0014217459036802206,0.0 -2012,MA,0.09230531420596988,0.0014827363270890994,0.0 -2013,MA,0.08264652547179192,0.0034445187503430014,0.0 -2014,MA,0.09348921583971041,0.009387437049476586,0.0 -2015,MA,0.10461344087596096,0.022682118310053793,0.0 -2016,MA,0.11773076951837906,0.023777368070422234,0.0 -2017,MA,0.12693296623373612,0.044268379721470824,0.0 -2018,MA,0.13564159876263357,0.05645011456800901,0.0 -2019,MA,0.14289671603087836,0.060607870974902216,0.0 -2020,MA,0.17043190303009081,0.0700316175290056,0.0 -2021,MA,0.19133048090713056,0.0795454299676874,0.0 -2022,MA,0.20925857793012648,0.08528504646187848,0.0 -2023,MA,0.22595690696987122,0.08207963292017884,0.0 -2024,MA,0.24483299894270377,0.07552054401109883,0.0 -2025,MA,0.2697926586936127,0.07297714443442192,0.0 -2026,MA,0.2977914411053104,0.07574452920582449,0.0 -2027,MA,0.32440372359908254,0.08230149530622456,0.0 -2028,MA,0.3510160060928547,0.08569768662916918,0.0 -2029,MA,0.37762828858662684,0.08888114163247811,0.0 -2030,MA,0.3864990494178843,0.09209212297475504,0.0 -2031,MA,0.3953698102491417,0.09508669588909897,0.0 -2032,MA,0.4042405710803991,0.09758363233656166,0.0 -2033,MA,0.4131113319116564,0.09968002686620628,0.0 -2034,MA,0.4219820927429139,0.10144711092837493,0.0 -2035,MA,0.4308528535741713,0.10300056957132098,0.0 -2036,MA,0.4397236144054286,0.10453126863846468,0.0 -2037,MA,0.448594375236686,0.10619615634963188,0.0 -2038,MA,0.4574651360679435,0.1072953933725425,0.0 -2039,MA,0.4663358968992008,0.1058024955410116,0.0 -2040,MA,0.47520665773045817,0.10448298920499355,0.0 -2041,MA,0.4840774185617155,0.10322093437032821,0.0 -2042,MA,0.49294817939297303,0.10277779477603573,0.0 -2043,MA,0.5018189402242305,0.10203447301339011,0.0 -2044,MA,0.5106897010554879,0.10138165194737028,0.0 -2045,MA,0.5195604618867451,0.10077423573960258,0.0 -2046,MA,0.5284312227180027,0.10016011796388587,0.0 -2047,MA,0.5373019835492601,0.09969154661823192,0.0 -2048,MA,0.5461727443805174,0.09932511814945752,0.0 -2049,MA,0.5550435052117748,0.09910681025012147,0.0 -2050,MA,0.5639142660430322,0.09867827168770626,0.0 -2010,MD,0.05381134563936435,0.0006232483744567086,0.0 -2011,MD,0.07152989559613762,0.0010010225554662484,0.0 -2012,MD,0.08595428010677943,0.001535813832387207,0.0 -2013,MD,0.10201705514149403,0.00266903259882593,0.0 -2014,MD,0.12173408253519541,0.003590936149925436,0.0 -2015,MD,0.1254979617868896,0.0048798603936135625,0.0 -2016,MD,0.14584851279259928,0.006613460808076052,0.0 -2017,MD,0.15090777381808856,0.010211449011951656,0.0 -2018,MD,0.17517284987220888,0.013083769314897657,0.0 -2019,MD,0.21830628107486785,0.04451703269182839,0.0 -2020,MD,0.2819152336041596,0.05063560749302431,0.0 -2021,MD,0.31436343582560156,0.062538436616252,0.0 -2022,MD,0.3177909758761681,0.047548297511165356,0.0 -2023,MD,0.34153636024100065,0.05194880732297703,0.0 -2024,MD,0.36321135471370475,0.05597917614144731,0.00020212732448460303 -2025,MD,0.38712842674185777,0.05907035384398339,0.013876280770184666 -2026,MD,0.41446677946126803,0.06611917055793132,0.021808634092270032 -2027,MD,0.45001354478556393,0.07684558730870931,0.10798648322055959 -2028,MD,0.470756543607448,0.08932498090544994,0.1079864832205596 -2029,MD,0.5349929598079665,0.10189015256289277,0.10798648322055959 -2030,MD,0.5495515385998613,0.11819527596296736,0.10798648322055962 -2031,MD,0.5599539312646074,0.11919708115319946,0.10798648322055959 -2032,MD,0.5689201063183246,0.12031709658251931,0.1079864832205596 -2033,MD,0.5690144026448972,0.12137365776868772,0.10798648322055959 -2034,MD,0.5691213533325324,0.1224428733159189,0.10798648322055958 -2035,MD,0.5692272541986805,0.12358505941547804,0.10798648322055959 -2036,MD,0.5693212474438142,0.12464131752020764,0.10798648322055958 -2037,MD,0.5694064884819333,0.12568882341792262,0.10798648322055959 -2038,MD,0.5694616185221286,0.12678023869152896,0.10798648322055959 -2039,MD,0.5695407299829859,0.12782161501198225,0.10798648322055959 -2040,MD,0.5696104930923213,0.12885364298091354,0.10798648322055958 -2041,MD,0.569674373646536,0.12995380876853918,0.10798648322055958 -2042,MD,0.5697275718388476,0.13000700696085088,0.10798648322055958 -2043,MD,0.5697745848756594,0.13005401999766253,0.10798648322055959 -2044,MD,0.5698136947767483,0.13009312989875133,0.10798648322055958 -2045,MD,0.5698516298471015,0.13013106496910448,0.1079864832205596 -2046,MD,0.5698893627714463,0.13016879789344948,0.10798648322055959 -2047,MD,0.569919346444093,0.1301987815660962,0.1079864832205596 -2048,MD,0.5699454882969798,0.1302249234189831,0.10798648322055958 -2049,MD,0.5699659556010424,0.13024539072304547,0.10798648322055956 -2050,MD,0.5699882627656399,0.13026769788764317,0.10798648322055958 -2010,ME,0.31308866046532036,0.0,0.0 -2011,ME,0.3510433838190474,0.0,0.0 -2012,ME,0.35569334386439994,0.0,0.0 -2013,ME,0.37174920008460566,0.0,0.0 -2014,ME,0.38620896225099616,0.0,0.0 -2015,ME,0.39029213113499484,0.0,0.0 -2016,ME,0.40017781457520135,0.0,0.0 -2017,ME,0.41333204244490696,0.0,0.0 -2018,ME,0.4051353150776941,0.0,0.0 -2019,ME,0.40568055073334147,0.0,0.0 -2020,ME,0.4371518871931172,0.0,0.0 -2021,ME,0.4598965873386648,0.0,0.0 -2022,ME,0.4887617632503287,0.0,0.0 -2023,ME,0.5062428370742185,0.0,0.0 -2024,ME,0.542407463926183,0.0,0.0 -2025,ME,0.5779717466435469,0.0,0.0 -2026,ME,0.6143428308141868,0.0,0.0 -2027,ME,0.6492755697064648,0.0,0.0 -2028,ME,0.685459019999543,0.0,0.0 -2029,ME,0.7217104778781246,0.0,0.0 -2030,ME,0.7669979355136263,0.0,0.0 -2031,ME,0.7764184790340721,0.0,0.0 -2032,ME,0.7860548429627571,0.0,0.0 -2033,ME,0.7958713582400068,0.0,0.0 -2034,ME,0.805827720303068,0.0,0.0 -2035,ME,0.8158596149088867,0.0,0.0 -2036,ME,0.8258807415024831,0.0,0.0 -2037,ME,0.8358197458851759,0.0,0.0 -2038,ME,0.8456663062514022,0.0,0.0 -2039,ME,0.8555096651222002,0.0,0.0 -2040,ME,0.8652985871317473,0.0,0.0 -2041,ME,0.8659029588232344,0.0,0.0 -2042,ME,0.8661151691161718,0.0,0.0 -2043,ME,0.8664711303776552,0.0,0.0 -2044,ME,0.8667837527464077,0.0,0.0 -2045,ME,0.8670746316772133,0.0,0.0 -2046,ME,0.8673687198488896,0.0,0.0 -2047,ME,0.8675931088761938,0.0,0.0 -2048,ME,0.86776858381389,0.0,0.0 -2049,ME,0.86787312690565,0.0,0.0 -2050,ME,0.8680783450694892,0.0,0.0 -2010,MI,0.0,0.0,0.0 -2011,MI,0.0,0.0,0.0 -2012,MI,0.033180767482067115,0.0,0.0 -2013,MI,0.046564339929746526,0.0,0.0 -2014,MI,0.05698698334944067,0.0,0.0 -2015,MI,0.09282983406124286,0.0,0.0 -2016,MI,0.09106339826449011,0.0,0.0 -2017,MI,0.0933589670031634,0.0,0.0 -2018,MI,0.09071794470610682,0.0,0.0 -2019,MI,0.11729572706139937,0.0,0.0 -2020,MI,0.12241935311455206,0.0,0.0 -2021,MI,0.138704692693707,0.0,0.0 -2022,MI,0.13482231164188127,0.0,0.0 -2023,MI,0.13511346736220123,0.0,0.0 -2024,MI,0.1340543523305649,0.0,0.0 -2025,MI,0.13010047039936962,0.0,0.0 -2026,MI,0.1216677221925762,0.0,0.0 -2027,MI,0.10925969833702168,0.0,0.0 -2028,MI,0.09908723800056334,0.0,0.0 -2029,MI,0.09085992114427795,0.0,0.0 -2030,MI,0.38872778009636866,0.0,0.0 -2031,MI,0.38474478923661537,0.0,0.0 -2032,MI,0.3783119538745119,0.0,0.0 -2033,MI,0.3708363317464457,0.0,0.0 -2034,MI,0.362702316955171,0.0,0.0 -2035,MI,0.44220736799020016,0.0,0.0 -2036,MI,0.43983591597360977,0.0,0.0 -2037,MI,0.44068008716564755,0.0,0.0 -2038,MI,0.4442893389181026,0.0,0.0 -2039,MI,0.4458375313208832,0.0,0.0 -2040,MI,0.4487884684595088,0.0,0.0 -2041,MI,0.45233799559528254,0.0,0.0 -2042,MI,0.45489394331087296,0.0,0.0 -2043,MI,0.4601150403273076,0.0,0.0 -2044,MI,0.4662977580200647,0.0,0.0 -2045,MI,0.47097224850740843,0.0,0.0 -2046,MI,0.4720020655438913,0.0,0.0 -2047,MI,0.47306983362922644,0.0,0.0 -2048,MI,0.47440527297915674,0.0,0.0 -2049,MI,0.4760168323291864,0.0,0.0 -2050,MI,0.47686957596544394,0.0,0.0 -2010,MN,0.10772672177133735,0.0,0.0 -2011,MN,0.10731422210986293,0.0,0.0 -2012,MN,0.14776776834858904,0.0,0.0 -2013,MN,0.147322963700159,0.0,0.0 -2014,MN,0.14674551440498573,0.0,0.0 -2015,MN,0.14721248940773335,0.0,0.0 -2016,MN,0.2062775938662552,0.0,0.0 -2017,MN,0.20529466328769494,0.0,0.0 -2018,MN,0.20530758547043068,0.0,0.0 -2019,MN,0.2046966945443656,0.0,0.0 -2020,MN,0.24375674092820115,0.0075700197890531075,0.0 -2021,MN,0.2431047539143303,0.007670748942230362,0.0 -2022,MN,0.24334060414181566,0.00761374807395959,0.0 -2023,MN,0.1998288896678912,0.007634725487390041,0.0 -2024,MN,0.19982888966789122,0.007598364321152527,0.0 -2025,MN,0.24978611208486398,0.007624405226312316,0.0 -2026,MN,0.24978611208486395,0.0076552793827342315,0.0 -2027,MN,0.24978611208486398,0.007633366417541094,0.0 -2028,MN,0.249786112084864,0.007636563868577012,0.0 -2029,MN,0.24978611208486398,0.007638738794944575,0.0 -2030,MN,0.24978611208486398,0.00764295593781786,0.0 -2031,MN,0.249786112084864,0.007647712652147796,0.0 -2032,MN,0.24978611208486398,0.007657271749804728,0.0 -2033,MN,0.24978611208486398,0.007668716812042105,0.0 -2034,MN,0.24978611208486398,0.007686980762512093,0.0 -2035,MN,0.5495294465867009,0.007706954391162181,0.0 -2036,MN,0.5495294465867009,0.007727687989021145,0.0 -2037,MN,0.549529446586701,0.0077480503002240785,0.0 -2038,MN,0.5495294465867008,0.007764188903549048,0.0 -2039,MN,0.5495294465867009,0.007781594907632925,0.0 -2040,MN,0.5495294465867008,0.007795297523967511,0.0 -2041,MN,0.5495294465867008,0.007807904406218916,0.0 -2042,MN,0.5495294465867008,0.007819082810567366,0.0 -2043,MN,0.5495294465867009,0.007828707264928443,0.0 -2044,MN,0.5495294465867008,0.007836096739397167,0.0 -2045,MN,0.5495294465867007,0.007843667544011968,0.0 -2046,MN,0.5495294465867008,0.007851854177121618,0.0 -2047,MN,0.5495294465867008,0.007859055655090893,0.0 -2048,MN,0.5495294465867008,0.007865485170091648,0.0 -2049,MN,0.5495294465867008,0.007870792588208558,0.0 -2050,MN,0.5495294465867008,0.007876256282831538,0.0 -2010,MO,0.0,0.0,0.0 -2011,MO,0.013640727528767087,0.0002065012796119335,0.0 -2012,MO,0.013680707874047876,0.00020731661810316132,0.0 -2013,MO,0.01362288940342539,0.00020630309387740888,0.0 -2014,MO,0.03399492626488512,0.0005128565070557091,0.0 -2015,MO,0.03402767517913964,0.0005131376740462335,0.0 -2016,MO,0.0334388257052769,0.0005020343651923748,0.0 -2017,MO,0.03334057935076454,0.0005003160745118965,0.0 -2018,MO,0.0661430487805018,0.000989772459522614,0.0 -2019,MO,0.06605624463830141,0.0009872416611184914,0.0 -2020,MO,0.06584955972183068,0.0009853581024482781,0.0 -2021,MO,0.09847813095510026,0.0014696166596279753,0.0 -2022,MO,0.098489331486407,0.0014647862385608534,0.0 -2023,MO,0.09829923616246654,0.0014662134584295114,0.0 -2024,MO,0.09842209158467495,0.0014675906622423328,0.0 -2025,MO,0.09842387765528836,0.0014675906622423328,0.0 -2026,MO,0.09842513478236146,0.001467590662242333,0.0 -2027,MO,0.0984249023565866,0.0014675906622423332,0.0 -2028,MO,0.09842512872707192,0.0014675906622423332,0.0 -2029,MO,0.09842528886042315,0.0014675906622423332,0.0 -2030,MO,0.09842548218136901,0.0014675906622423332,0.0 -2031,MO,0.09842564661768861,0.0014675906622423328,0.0 -2032,MO,0.09842608010178165,0.001467590662242333,0.0 -2033,MO,0.0984266049708646,0.0014675906622423325,0.0 -2034,MO,0.09842739233946687,0.0014675906622423328,0.0 -2035,MO,0.09842824099085276,0.0014675906622423328,0.0 -2036,MO,0.0984290977799348,0.0014675906622423325,0.0 -2037,MO,0.09842992028657736,0.0014675906622423325,0.0 -2038,MO,0.09843054953997454,0.0014675906622423328,0.0 -2039,MO,0.09843128143692499,0.0014675906622423325,0.0 -2040,MO,0.09843186762111303,0.0014675906622423328,0.0 -2041,MO,0.09843240885731362,0.0014675906622423325,0.0 -2042,MO,0.09843289218120312,0.0014675906622423323,0.0 -2043,MO,0.09843331173308052,0.0014675906622423328,0.0 -2044,MO,0.0984336417402095,0.0014675906622423328,0.0 -2045,MO,0.09843396180193642,0.0014675906622423325,0.0 -2046,MO,0.09843431301504883,0.0014675906622423323,0.0 -2047,MO,0.09843462640277025,0.0014675906622423325,0.0 -2048,MO,0.0984349051758528,0.0014675906622423328,0.0 -2049,MO,0.0984351391514262,0.0014675906622423325,0.0 -2050,MO,0.09843538987331518,0.0014675906622423328,0.0 -2010,MT,0.07022740137216796,0.0,0.0 -2011,MT,0.06992361010934009,0.0,0.0 -2012,MT,0.07024690149583258,0.0,0.0 -2013,MT,0.07071724422922777,0.0,0.0 -2014,MT,0.07102874462715263,0.0,0.0 -2015,MT,0.10732457956553682,0.0,0.0 -2016,MT,0.10751634274312137,0.0,0.0 -2017,MT,0.10772091475150743,0.0,0.0 -2018,MT,0.10637065081547789,0.0,0.0 -2019,MT,0.10204597255671542,0.0,0.0 -2020,MT,0.11125620784001623,0.0,0.0 -2021,MT,0.0,0.0,0.0 -2022,MT,0.0,0.0,0.0 -2023,MT,0.0,0.0,0.0 -2024,MT,0.0,0.0,0.0 -2025,MT,0.0,0.0,0.0 -2026,MT,0.0,0.0,0.0 -2027,MT,0.0,0.0,0.0 -2028,MT,0.0,0.0,0.0 -2029,MT,0.0,0.0,0.0 -2030,MT,0.0,0.0,0.0 -2031,MT,0.0,0.0,0.0 -2032,MT,0.0,0.0,0.0 -2033,MT,0.0,0.0,0.0 -2034,MT,0.0,0.0,0.0 -2035,MT,0.0,0.0,0.0 -2036,MT,0.0,0.0,0.0 -2037,MT,0.0,0.0,0.0 -2038,MT,0.0,0.0,0.0 -2039,MT,0.0,0.0,0.0 -2040,MT,0.0,0.0,0.0 -2041,MT,0.0,0.0,0.0 -2042,MT,0.0,0.0,0.0 -2043,MT,0.0,0.0,0.0 -2044,MT,0.0,0.0,0.0 -2045,MT,0.0,0.0,0.0 -2046,MT,0.0,0.0,0.0 -2047,MT,0.0,0.0,0.0 -2048,MT,0.0,0.0,0.0 -2049,MT,0.0,0.0,0.0 -2050,MT,0.0,0.0,0.0 -2010,NC,0.0001996493492754867,0.0001996493492754867,0.0 -2011,NC,0.0002077672450730856,0.0002077672450730856,0.0 -2012,NC,0.01721786520991199,0.0007151329649781571,0.0 -2013,NC,0.01697897750580107,0.0006896829212504047,0.0 -2014,NC,0.015591457190035058,0.0006812045427491122,0.0 -2015,NC,0.03298780314767695,0.0013902191376376836,0.0 -2016,NC,0.03285219219493407,0.0013919829972130584,0.0 -2017,NC,0.033064162238550486,0.0014295703728251278,0.0 -2018,NC,0.05715403810589468,0.001897678735801563,0.0 -2019,NC,0.055484072327033736,0.0020239216132049943,0.0 -2020,NC,0.05558556110845438,0.0020894501751578215,0.0 -2021,NC,0.056039581584650194,0.0019190053434093054,0.0 -2022,NC,0.051211973236473876,0.0019465814927996825,0.0 -2023,NC,0.052324173294057634,0.002088696034409288,0.0 -2024,NC,0.05094015751121325,0.0019412439252709697,0.0 -2025,NC,0.048751731171398374,0.0019446172980595387,0.0 -2026,NC,0.04748602459958844,0.001969642984686308,0.0 -2027,NC,0.047437731361046266,0.0019957390561327923,0.0 -2028,NC,0.046915608484640665,0.001973441318761287,0.0 -2029,NC,0.04641629261652249,0.0019733171338650692,0.0 -2030,NC,0.045761859640987806,0.0019733639691753824,0.0 -2031,NC,0.045162839448540264,0.0019744947789618983,0.0 -2032,NC,0.04436176157912331,0.001969846895021804,0.0 -2033,NC,0.04294628556726859,0.001965922537272642,0.0 -2034,NC,0.042102006585036045,0.001960794451644403,0.0 -2035,NC,0.04128061009467201,0.001958782239745054,0.0 -2036,NC,0.04047843281111415,0.0019590033631967044,0.0 -2037,NC,0.03972158030540932,0.001960484004727387,0.0 -2038,NC,0.03904001593644438,0.0019635392246325177,0.0 -2039,NC,0.038384968430671816,0.0019642345831819815,0.0 -2040,NC,0.03779156445490212,0.001966867209175994,0.0 -2041,NC,0.037230160773259476,0.0019680166655407067,0.0 -2042,NC,0.03670710533343859,0.0019696076356288815,0.0 -2043,NC,0.03623205332691152,0.001971787277061981,0.0 -2044,NC,0.03578562265892523,0.001972974980710171,0.0 -2045,NC,0.03533639270914993,0.001972486668177753,0.0 -2046,NC,0.034914641906667314,0.001973744002218984,0.0 -2047,NC,0.03452716266966244,0.001975388575272627,0.0 -2048,NC,0.0341741481054657,0.001977092702084482,0.0 -2049,NC,0.033865072013851895,0.0019794055976769392,0.0 -2050,NC,0.033571959459322516,0.001980117887310158,0.0 -2010,NE,0.0,0.0,0.0 -2011,NE,0.0,0.0,0.0 -2012,NE,0.0,0.0,0.0 -2013,NE,0.0,0.0,0.0 -2014,NE,0.0,0.0,0.0 -2015,NE,0.0,0.0,0.0 -2016,NE,0.0,0.0,0.0 -2017,NE,0.0,0.0,0.0 -2018,NE,0.0,0.0,0.0 -2019,NE,0.0,0.0,0.0 -2020,NE,0.0,0.0,0.0 -2021,NE,0.0,0.0,0.0 -2022,NE,0.0,0.0,0.0 -2023,NE,0.0,0.0,0.0 -2024,NE,0.0,0.0,0.0 -2025,NE,0.0,0.0,0.0 -2026,NE,0.0,0.0,0.0 -2027,NE,0.0,0.0,0.0 -2028,NE,0.0,0.0,0.0 -2029,NE,0.0,0.0,0.0 -2030,NE,0.0,0.0,0.0 -2031,NE,0.0,0.0,0.0 -2032,NE,0.0,0.0,0.0 -2033,NE,0.0,0.0,0.0 -2034,NE,0.0,0.0,0.0 -2035,NE,0.0,0.0,0.0 -2036,NE,0.0,0.0,0.0 -2037,NE,0.0,0.0,0.0 -2038,NE,0.0,0.0,0.0 -2039,NE,0.0,0.0,0.0 -2040,NE,0.0,0.0,0.0 -2041,NE,0.0,0.0,0.0 -2042,NE,0.0,0.0,0.0 -2043,NE,0.0,0.0,0.0 -2044,NE,0.0,0.0,0.0 -2045,NE,0.0,0.0,0.0 -2046,NE,0.0,0.0,0.0 -2047,NE,0.0,0.0,0.0 -2048,NE,0.0,0.0,0.0 -2049,NE,0.0,0.0,0.0 -2050,NE,0.0,0.0,0.0 -2010,NH,0.0741599574510582,0.0003934215249393008,0.0 -2011,NH,0.09419590487690543,0.0007866046336276027,0.0 -2012,NH,0.05515828750570018,0.001490764527181086,0.0 -2013,NH,0.057650464463792975,0.00198794705047562,0.0 -2014,NH,0.0636055350833021,0.0029815094570297867,0.0 -2015,NH,0.07055768460402527,0.0029813106170714907,0.0 -2016,NH,0.07254795494562137,0.00298142280598444,0.0 -2017,NH,0.15502725030086806,0.0029812932750166938,0.0 -2018,NH,0.16195344430680145,0.004967897064625811,0.0 -2019,NH,0.16614545236767714,0.005898655113645342,0.0 -2020,NH,0.115,0.007,0.0 -2021,NH,0.11,0.006999999999999998,0.0 -2022,NH,0.10999999999999999,0.007,0.0 -2023,NH,0.115,0.007,0.0 -2024,NH,0.129,0.007000000000000002,0.0 -2025,NH,0.208,0.007000000000000001,0.0 -2026,NH,0.2080000000000001,0.007000000000000003,0.0 -2027,NH,0.2080000000000001,0.0070000000000000045,0.0 -2028,NH,0.20800000000000002,0.007000000000000001,0.0 -2029,NH,0.2080000000000001,0.007000000000000003,0.0 -2030,NH,0.20800000000000013,0.007000000000000002,0.0 -2031,NH,0.20800000000000016,0.007000000000000004,0.0 -2032,NH,0.20800000000000007,0.007000000000000003,0.0 -2033,NH,0.20800000000000013,0.007000000000000003,0.0 -2034,NH,0.20800000000000007,0.007000000000000003,0.0 -2035,NH,0.2080000000000001,0.007000000000000002,0.0 -2036,NH,0.20800000000000007,0.007000000000000004,0.0 -2037,NH,0.20800000000000013,0.007000000000000004,0.0 -2038,NH,0.20800000000000007,0.007000000000000002,0.0 -2039,NH,0.20800000000000007,0.007000000000000002,0.0 -2040,NH,0.20800000000000007,0.007000000000000002,0.0 -2041,NH,0.20800000000000002,0.007000000000000003,0.0 -2042,NH,0.20800000000000005,0.007000000000000003,0.0 -2043,NH,0.20800000000000005,0.007000000000000003,0.0 -2044,NH,0.2080000000000001,0.007000000000000003,0.0 -2045,NH,0.2080000000000001,0.007000000000000003,0.0 -2046,NH,0.20800000000000007,0.007000000000000003,0.0 -2047,NH,0.20800000000000005,0.007000000000000002,0.0 -2048,NH,0.20800000000000002,0.007000000000000002,0.0 -2049,NH,0.20800000000000007,0.007000000000000002,0.0 -2050,NH,0.20800000000000002,0.007000000000000001,0.0 -2010,NJ,0.06963558133703657,0.0020779723839434356,0.0 -2011,NJ,0.08489255537517408,0.0039892277293148894,0.0 -2012,NJ,0.09464512149890292,0.005902344954912562,0.0 -2013,NJ,0.10368550056847027,0.008011640968096046,0.0 -2014,NJ,0.12442231602622093,0.020361279464656577,0.0 -2015,NJ,0.1328241510893631,0.023654806292719315,0.0 -2016,NJ,0.14746367748065534,0.02721827727174993,0.0 -2017,NJ,0.16185498276070598,0.030376287036729305,0.0 -2018,NJ,0.17166641905120966,0.030476146516719607,0.0 -2019,NJ,0.21290996605692986,0.04364781187341113,0.0 -2020,NJ,0.20807585566789147,0.04949317084854155,0.0 -2021,NJ,0.22962040271267536,0.0498325129291338,0.0 -2022,NJ,0.22876275810128605,0.04964638580070463,0.0 -2023,NJ,0.254486412847383,0.052974722674353186,0.0 -2024,NJ,0.28251554018313557,0.04692631006431743,0.0 -2025,NJ,0.37379872683138393,0.04784623703441714,0.0 -2026,NJ,0.36574477574563685,0.043889373089476415,0.0 -2027,NJ,0.43314345408363814,0.04331434540836381,0.0 -2028,NJ,0.4564591038551609,0.03671305480469467,0.0 -2029,NJ,0.484878594863397,0.030072268408699577,0.0 -2030,NJ,0.514888370995211,0.021674348569512697,0.0 -2031,NJ,0.5163882648491217,0.015540827780221188,0.0 -2032,NJ,0.5123045394014817,0.013661454384039508,0.0 -2033,NJ,0.5112041120017145,0.010710943299083541,0.0 -2034,NJ,0.5098530060561477,0.0,0.0 -2035,NJ,0.5097528071710288,0.0,0.0 -2036,NJ,0.5107217686843595,0.0,0.0 -2037,NJ,0.5114325267607952,0.0,0.0 -2038,NJ,0.5143643297183446,0.0,0.0 -2039,NJ,0.5118267435176458,0.0,0.0 -2040,NJ,0.5126769702514369,0.0,0.0 -2041,NJ,0.5131983657857553,0.0,0.0 -2042,NJ,0.5142599065399149,0.0,0.0 -2043,NJ,0.5148701426633334,0.0,0.0 -2044,NJ,0.5156891597939272,0.0,0.0 -2045,NJ,0.515783625776428,0.0,0.0 -2046,NJ,0.5157718689037691,0.0,0.0 -2047,NJ,0.5166116217816135,0.0,0.0 -2048,NJ,0.5170257684214854,0.0,0.0 -2049,NJ,0.5176568565938251,0.0,0.0 -2050,NJ,0.5174352052409356,0.0,0.0 -2010,NM,0.03978414902143466,0.0,0.0 -2011,NM,0.06643895308780855,0.0,0.0 -2012,NM,0.06749346637807822,0.0,0.0 -2013,NM,0.06809069441840977,0.0,0.0 -2014,NM,0.06766463204998359,0.0,0.0 -2015,NM,0.11282388280393188,0.0,0.0 -2016,NM,0.1158318891202168,0.0,0.0 -2017,NM,0.11760524335866329,0.0,0.0 -2018,NM,0.12076204169482434,0.0,0.0 -2019,NM,0.12347984760165415,0.0,0.0 -2020,NM,0.1643163673050205,0.0,0.0 -2021,NM,0.16408325471096014,0.0,0.0 -2022,NM,0.16315410298658548,0.0,0.0 -2023,NM,0.16515093784030707,0.0,0.0 -2024,NM,0.1644122812372973,0.0,0.0 -2025,NM,0.35942190333308144,0.0,0.0 -2026,NM,0.3594219033330813,0.0,0.0 -2027,NM,0.35942190333308144,0.0,0.0 -2028,NM,0.3594219033330814,0.0,0.0 -2029,NM,0.35942190333308144,0.0,0.0 -2030,NM,0.44927737916635185,0.0,0.0 -2031,NM,0.44927737916635196,0.0,0.0 -2032,NM,0.44927737916635185,0.0,0.0 -2033,NM,0.4492773791663519,0.0,0.0 -2034,NM,0.44927737916635185,0.0,0.0 -2035,NM,0.44927737916635196,0.0,0.0 -2036,NM,0.44927737916635185,0.0,0.0 -2037,NM,0.44927737916635196,0.0,0.0 -2038,NM,0.44927737916635196,0.0,0.0 -2039,NM,0.44927737916635196,0.0,0.0 -2040,NM,0.6729477953784331,0.0,0.0 -2041,NM,0.6729477953784332,0.0,0.0 -2042,NM,0.6729477953784331,0.0,0.0 -2043,NM,0.6729477953784331,0.0,0.0 -2044,NM,0.6729477953784331,0.0,0.0 -2045,NM,0.6729477953784333,0.0,0.0 -2046,NM,0.6729477953784331,0.0,0.0 -2047,NM,0.6729477953784332,0.0,0.0 -2048,NM,0.672947795378433,0.0,0.0 -2049,NM,0.6729477953784332,0.0,0.0 -2050,NM,0.7188438066661632,0.0,0.0 -2016,NS,0.25,0.0,0.0 -2017,NS,0.25,0.0,0.0 -2018,NS,0.25,0.0,0.0 -2019,NS,0.25,0.0,0.0 -2020,NS,0.4,0.0,0.0 -2021,NS,0.4,0.0,0.0 -2022,NS,0.4,0.0,0.0 -2023,NS,0.4,0.0,0.0 -2024,NS,0.4,0.0,0.0 -2025,NS,0.4,0.0,0.0 -2026,NS,0.4,0.0,0.0 -2027,NS,0.4,0.0,0.0 -2028,NS,0.4,0.0,0.0 -2029,NS,0.4,0.0,0.0 -2030,NS,0.4,0.0,0.0 -2031,NS,0.4,0.0,0.0 -2032,NS,0.4,0.0,0.0 -2033,NS,0.4,0.0,0.0 -2034,NS,0.4,0.0,0.0 -2035,NS,0.4,0.0,0.0 -2036,NS,0.4,0.0,0.0 -2037,NS,0.4,0.0,0.0 -2038,NS,0.4,0.0,0.0 -2039,NS,0.4,0.0,0.0 -2040,NS,0.4,0.0,0.0 -2041,NS,0.4,0.0,0.0 -2042,NS,0.4,0.0,0.0 -2043,NS,0.4,0.0,0.0 -2044,NS,0.4,0.0,0.0 -2045,NS,0.4,0.0,0.0 -2046,NS,0.4,0.0,0.0 -2047,NS,0.4,0.0,0.0 -2048,NS,0.4,0.0,0.0 -2049,NS,0.4,0.0,0.0 -2050,NS,0.4,0.0,0.0 -2010,NV,0.07344646978282957,0.0,0.0 -2011,NV,0.09040190304967974,0.0,0.0 -2012,NV,0.08934126805438979,0.0,0.0 -2013,NV,0.10849287087807365,0.0,0.0 -2014,NV,0.10819691470417739,0.0,0.0 -2015,NV,0.12951924883911128,0.0,0.0 -2016,NV,0.13112179804827503,0.0,0.0 -2017,NV,0.13176637971828745,0.0,0.0 -2018,NV,0.13274448324392507,0.0,0.0 -2019,NV,0.1309247885803425,0.0,0.0 -2020,NV,0.16779052768567568,0.0,0.0 -2021,NV,0.1815519044548596,0.0,0.0 -2022,NV,0.22837437432348917,0.0,0.0 -2023,NV,0.22844008697201387,0.0,0.0 -2024,NV,0.2710558312460796,0.0,0.0 -2025,NV,0.302359726488009,0.0,0.0 -2026,NV,0.3028450367615421,0.0,0.0 -2027,NV,0.37716888361185125,0.0,0.0 -2028,NV,0.3773737234698376,0.0,0.0 -2029,NV,0.37752968384299934,0.0,0.0 -2030,NV,0.4520613397652767,0.0,0.0 -2031,NV,0.4523034035478261,0.0,0.0 -2032,NV,0.45258131684687186,0.0,0.0 -2033,NV,0.45285684373006113,0.0,0.0 -2034,NV,0.4532429421232798,0.0,0.0 -2035,NV,0.45356218544693555,0.0,0.0 -2036,NV,0.4538791242390195,0.0,0.0 -2037,NV,0.4541690109374529,0.0,0.0 -2038,NV,0.45431016531912216,0.0,0.0 -2039,NV,0.45454010046051646,0.0,0.0 -2040,NV,0.4547586642112862,0.0,0.0 -2041,NV,0.4549710697124959,0.0,0.0 -2042,NV,0.455167600083682,0.0,0.0 -2043,NV,0.4553469714956687,0.0,0.0 -2044,NV,0.45551329713170313,0.0,0.0 -2045,NV,0.45567465698188064,0.0,0.0 -2046,NV,0.4558281601888612,0.0,0.0 -2047,NV,0.45596942576246247,0.0,0.0 -2048,NV,0.45609901283887117,0.0,0.0 -2049,NV,0.4562171822448285,0.0,0.0 -2050,NV,0.45633051238912203,0.0,0.0 -2010,NY,0.23728483091845984,0.0,0.0 -2011,NY,0.24863480096911797,0.0,0.0 -2012,NY,0.26150470682674554,0.0,0.0 -2013,NY,0.2624474929809603,0.0,0.0 -2014,NY,0.2730789288720958,0.0,0.0 -2015,NY,0.280684383069529,0.0,0.0 -2016,NY,0.2830170663385254,0.0,0.0 -2017,NY,0.2921815009087902,0.0,0.0 -2018,NY,0.29105181855765305,0.0,0.0 -2019,NY,0.30786191912377475,0.0,0.0 -2020,NY,0.3416262551740166,0.0,0.0 -2021,NY,0.35564245994773963,0.0,0.0 -2022,NY,0.3622222222222222,0.0,0.0 -2023,NY,0.40444444444444444,0.0,0.0 -2024,NY,0.44666666666666666,0.0,0.0 -2025,NY,0.48888888888888893,0.0,0.0 -2026,NY,0.5311111111111111,0.0,0.0 -2027,NY,0.5733333333333333,0.0,0.0 -2028,NY,0.6155555555555554,0.0,0.0 -2029,NY,0.6577777777777776,0.0,0.0 -2030,NY,0.7,0.0,0.0 -2031,NY,0.7,0.0,0.0 -2032,NY,0.7,0.0,0.0 -2033,NY,0.7,0.0,0.0 -2034,NY,0.7,0.0,0.0 -2035,NY,0.7,0.0,0.0 -2036,NY,0.7,0.0,0.0 -2037,NY,0.7,0.0,0.0 -2038,NY,0.7,0.0,0.0 -2039,NY,0.7,0.0,0.0 -2040,NY,0.7,0.0,0.0 -2041,NY,0.7,0.0,0.0 -2042,NY,0.7,0.0,0.0 -2043,NY,0.7,0.0,0.0 -2044,NY,0.7,0.0,0.0 -2045,NY,0.7,0.0,0.0 -2046,NY,0.7,0.0,0.0 -2047,NY,0.7,0.0,0.0 -2048,NY,0.7,0.0,0.0 -2049,NY,0.7,0.0,0.0 -2050,NY,0.7,0.0,0.0 -2010,OH,0.004336688708698854,8.673377417397709e-05,0.0 -2011,OH,0.008401624934037734,0.000252048748021132,0.0 -2012,OH,0.012752152434662854,0.0005100860973865141,0.0 -2013,OH,0.017143045954588047,0.0007714370679564621,0.0 -2014,OH,0.0218632108776936,0.0010494341221292927,0.0 -2015,OH,0.02113312553059039,0.0010143900254683384,0.0 -2016,OH,0.019520642664021915,0.0009369908478730518,0.0 -2017,OH,0.026496953996832686,0.0011355837427214008,0.0 -2018,OH,0.03284308741623373,0.0013137234966493492,0.0 -2019,OH,0.043648979463995735,0.0017459591785598293,0.0 -2020,OH,0.04685167846209154,0.0,0.0 -2021,OH,0.048371093358850314,0.0,0.0 -2022,OH,0.04929055618995632,0.0,0.0 -2023,OH,0.05218930189624263,0.0,0.0 -2024,OH,0.053078290650357456,0.0,0.0 -2025,OH,0.05550077131021036,0.0,0.0 -2026,OH,0.060881241680840546,0.0,0.0 -2027,OH,0.0,0.0,0.0 -2028,OH,0.0,0.0,0.0 -2029,OH,0.0,0.0,0.0 -2030,OH,0.0,0.0,0.0 -2031,OH,0.0,0.0,0.0 -2032,OH,0.0,0.0,0.0 -2033,OH,0.0,0.0,0.0 -2034,OH,0.0,0.0,0.0 -2035,OH,0.0,0.0,0.0 -2036,OH,0.0,0.0,0.0 -2037,OH,0.0,0.0,0.0 -2038,OH,0.0,0.0,0.0 -2039,OH,0.0,0.0,0.0 -2040,OH,0.0,0.0,0.0 -2041,OH,0.0,0.0,0.0 -2042,OH,0.0,0.0,0.0 -2043,OH,0.0,0.0,0.0 -2044,OH,0.0,0.0,0.0 -2045,OH,0.0,0.0,0.0 -2046,OH,0.0,0.0,0.0 -2047,OH,0.0,0.0,0.0 -2048,OH,0.0,0.0,0.0 -2049,OH,0.0,0.0,0.0 -2050,OH,0.0,0.0,0.0 -2010,OR,0.0,0.0,0.0 -2011,OR,0.034395088291336244,0.0,0.0 -2012,OR,0.0344372627163964,0.0,0.0 -2013,OR,0.034379962553546355,0.0,0.0 -2014,OR,0.03435569455140335,0.0,0.0 -2015,OR,0.10311668982289211,0.00025269241840871116,0.0 -2016,OR,0.10192198799863567,0.000252236817604526,0.0 -2017,OR,0.09995741898547947,0.0002386509575177606,0.0 -2018,OR,0.09893496145879216,0.0002421308222866728,0.0 -2019,OR,0.0977743992761762,0.0002369409095020015,0.0 -2020,OR,0.135196356701486,0.00023407615723106828,0.0 -2021,OR,0.13330891779568121,0.0002205963538626334,0.0 -2022,OR,0.13133359569443892,0.000212005665454614,0.0 -2023,OR,0.1291240252290816,0.00020594183536071467,0.0 -2024,OR,0.1266325707832207,0.00020008943086394397,0.0 -2025,OR,0.17103013125647426,0.00019396003254001397,0.0 -2026,OR,0.17103556468383294,0.00018852660518134975,0.0 -2027,OR,0.17103037645541969,0.00019371483359462312,0.0 -2028,OR,0.1710337330599651,0.0001903582290491753,0.0 -2029,OR,0.17103695312312267,0.0001871381658916083,0.0 -2030,OR,0.22177334894752543,0.00018380642712270567,0.0 -2031,OR,0.22177718812847375,0.00017996724617439164,0.0 -2032,OR,0.22178141583278296,0.0001757395418651924,0.0 -2033,OR,0.22178554920054583,0.0001716061741022451,0.0 -2034,OR,0.22179037754931613,0.0001667778253319148,0.0 -2035,OR,0.2852106104210539,0.0001628750606365363,0.0 -2036,OR,0.2852143888108345,0.00015909667085595454,0.0 -2037,OR,0.2852177828222917,0.00015570265939873247,0.0 -2038,OR,0.2852195641334175,0.00015392134827290206,0.0 -2039,OR,0.28522245817757824,0.00015102730411221038,0.0 -2040,OR,0.31693317442504004,0.00014847611017154518,0.0 -2041,OR,0.31693540827824823,0.0001462422569633083,0.0 -2042,OR,0.3169373314091406,0.00014431912607094477,0.0 -2043,OR,0.31693902774647986,0.00014262278873163823,0.0 -2044,OR,0.31694059592392926,0.00014105461128228962,0.0 -2045,OR,0.316942089852627,0.00013956068258456884,0.0 -2046,OR,0.3169435499460434,0.00013810058916808205,0.0 -2047,OR,0.3169448421154695,0.00013680841974198985,0.0 -2048,OR,0.3169460018318388,0.00013564870337270303,0.0 -2049,OR,0.31694703013674386,0.00013462039846766718,0.0 -2050,OR,0.31694802248147763,0.0001336280537338865,0.0 -2010,PA,0.003136563366786791,1.5055504160576596e-05,0.0 -2011,PA,0.02921356090180766,0.00019767842876889852,0.0 -2012,PA,0.03495021000882838,0.00032453766436769195,0.0 -2013,PA,0.038657367715710066,0.0004928814383753034,0.0 -2014,PA,0.04381243652216992,0.0008178321484138384,0.0 -2015,PA,0.04891061411301671,0.0014086256864548812,0.0 -2016,PA,0.054039215401548796,0.0024563279727976726,0.0 -2017,PA,0.059507365278132225,0.002908918372679364,0.0 -2018,PA,0.060856987572849644,0.0031832885807336745,0.0 -2019,PA,0.06984917681552229,0.0038915969940076698,0.0 -2020,PA,0.07570123280143332,0.004474447533450052,0.0 -2021,PA,0.07619186928654406,0.004761991830409004,0.0 -2022,PA,0.07729600844022669,0.00483100052751417,0.0 -2023,PA,0.08180890183418114,0.0051130563646363215,0.0 -2024,PA,0.07619924143430137,0.004762452589643835,0.0 -2025,PA,0.07744928867082254,0.004840580541926408,0.0 -2026,PA,0.07689264227651361,0.004805790142282101,0.0 -2027,PA,0.07850194546316915,0.004906371591448072,0.0 -2028,PA,0.07739035549390733,0.00483689721836921,0.0 -2029,PA,0.07722639014224242,0.004826649383890151,0.0 -2030,PA,0.07731997429581074,0.004832498393488172,0.0 -2031,PA,0.07754521098936176,0.00484657568683511,0.0 -2032,PA,0.07693196438207796,0.004808247773879873,0.0 -2033,PA,0.07676671493567867,0.004797919683479917,0.0 -2034,PA,0.07656382148757025,0.004785238842973141,0.0 -2035,PA,0.07654877477908298,0.004784298423692686,0.0 -2036,PA,0.07669428220073936,0.004793392637546209,0.0 -2037,PA,0.07680101561966335,0.004800063476228959,0.0 -2038,PA,0.07724127984408145,0.004827579990255091,0.0 -2039,PA,0.07686021452805535,0.00480376340800346,0.0 -2040,PA,0.0769878917352047,0.004811743233450295,0.0 -2041,PA,0.07706618887994993,0.004816636804996871,0.0 -2042,PA,0.07722559878013267,0.004826599923758292,0.0 -2043,PA,0.07731723697597283,0.004832327310998303,0.0 -2044,PA,0.07744022748625169,0.004840014217890731,0.0 -2045,PA,0.07745441329379803,0.004840900830862377,0.0 -2046,PA,0.07745264778278053,0.0048407904864237825,0.0 -2047,PA,0.07757875214750767,0.004848672009219229,0.0 -2048,PA,0.07764094389498818,0.004852558993436762,0.0 -2049,PA,0.07773571341011506,0.004858482088132193,0.0 -2050,PA,0.07770242837616702,0.004856401773510438,0.0 -2010,RI,0.04469083666881347,0.0,0.0 -2011,RI,0.05461689871993502,0.0,0.0 -2012,RI,0.06453685712113667,0.0,0.0 -2013,RI,0.07443990403954598,0.0,0.0 -2014,RI,0.0843676521999439,0.0,0.0 -2015,RI,0.08437379366077134,0.0,0.0 -2016,RI,0.0992454902060857,0.0,0.0 -2017,RI,0.11416055483311661,0.0,0.0 -2018,RI,0.12903615163603996,0.0,0.0 -2019,RI,0.14366731724487214,0.0,0.0 -2020,RI,0.15852734557801662,0.0,0.0 -2021,RI,0.17337969683883162,0.0,0.0 -2022,RI,0.18825024307427243,0.0,0.0 -2023,RI,0.22783938968870973,0.0,0.0 -2024,RI,0.27736969179495097,0.0,0.0 -2025,RI,0.3368060543224404,0.0,0.0 -2026,RI,0.4061484772711782,0.0,0.0 -2027,RI,0.4754909002199159,0.0,0.0 -2028,RI,0.5497863533792776,0.0,0.0 -2029,RI,0.6290348367492636,0.0,0.0 -2030,RI,0.7132363503298736,0.0,0.0 -2031,RI,0.8023908941211076,0.0,0.0 -2032,RI,0.8964984681229661,0.0,0.0 -2033,RI,0.9906060421248245,0.0,0.0 -2034,RI,0.9906060421248244,0.0,0.0 -2035,RI,0.9906060421248243,0.0,0.0 -2036,RI,0.9906060421248245,0.0,0.0 -2037,RI,0.9906060421248243,0.0,0.0 -2038,RI,0.9906060421248244,0.0,0.0 -2039,RI,0.9906060421248244,0.0,0.0 -2040,RI,0.9906060421248244,0.0,0.0 -2041,RI,0.9906060421248246,0.0,0.0 -2042,RI,0.9906060421248247,0.0,0.0 -2043,RI,0.9906060421248247,0.0,0.0 -2044,RI,0.9906060421248246,0.0,0.0 -2045,RI,0.9906060421248247,0.0,0.0 -2046,RI,0.9906060421248247,0.0,0.0 -2047,RI,0.9906060421248246,0.0,0.0 -2048,RI,0.9906060421248247,0.0,0.0 -2049,RI,0.9906060421248244,0.0,0.0 -2050,RI,0.9906060421248244,0.0,0.0 -2010,TX,0.024811232771339318,0.0,0.0 -2011,TX,0.030780576058194842,0.0,0.0 -2012,TX,0.0332717320751753,0.0,0.0 -2013,TX,0.040226729700819856,0.0,0.0 -2014,TX,0.03996685624003135,0.0,0.0 -2015,TX,0.044409524247889874,0.0,0.0 -2016,TX,0.04525942333090449,0.0,0.0 -2017,TX,0.04490067268522177,0.0,0.0 -2018,TX,0.042516356354198453,0.0,0.0 -2019,TX,0.04203036348200505,0.0,0.0 -2020,TX,0.04227682266712841,0.0,0.0 -2021,TX,0.04142922236174654,0.0,0.0 -2022,TX,0.03796554747870089,0.0,0.0 -2023,TX,0.03662610724703794,0.0,0.0 -2024,TX,0.03571224988867963,0.0,0.0 -2025,TX,0.0,0.0,0.0 -2026,TX,0.0,0.0,0.0 -2027,TX,0.0,0.0,0.0 -2028,TX,0.0,0.0,0.0 -2029,TX,0.0,0.0,0.0 -2030,TX,0.0,0.0,0.0 -2031,TX,0.0,0.0,0.0 -2032,TX,0.0,0.0,0.0 -2033,TX,0.0,0.0,0.0 -2034,TX,0.0,0.0,0.0 -2035,TX,0.0,0.0,0.0 -2036,TX,0.0,0.0,0.0 -2037,TX,0.0,0.0,0.0 -2038,TX,0.0,0.0,0.0 -2039,TX,0.0,0.0,0.0 -2040,TX,0.0,0.0,0.0 -2041,TX,0.0,0.0,0.0 -2042,TX,0.0,0.0,0.0 -2043,TX,0.0,0.0,0.0 -2044,TX,0.0,0.0,0.0 -2045,TX,0.0,0.0,0.0 -2046,TX,0.0,0.0,0.0 -2047,TX,0.0,0.0,0.0 -2048,TX,0.0,0.0,0.0 -2049,TX,0.0,0.0,0.0 -2050,TX,0.0,0.0,0.0 -2010,VA,0.0,0.0,0.0 -2011,VA,0.0,0.0,0.0 -2012,VA,0.0,0.0,0.0 -2013,VA,0.0,0.0,0.0 -2014,VA,0.0,0.0,0.0 -2015,VA,0.0,0.0,0.0 -2016,VA,0.0,0.0,0.0 -2017,VA,0.0,0.0,0.0 -2018,VA,0.0,0.0,0.0 -2019,VA,0.0,0.0,0.0 -2020,VA,0.0,0.0,0.0 -2021,VA,0.0665052829710852,0.0,0.0 -2022,VA,0.07552773002498907,0.0,0.0 -2023,VA,0.09179625940714001,0.0,0.0 -2024,VA,0.10927549175342766,0.0,0.0 -2025,VA,0.1281823584359713,0.0,0.0 -2026,VA,0.14489173284645188,0.0,0.0 -2027,VA,0.16136238767348918,0.0,0.0 -2028,VA,0.1793764973982249,0.0,0.0 -2029,VA,0.1966417554818262,0.0,0.0 -2030,VA,0.21397514189084763,0.0,0.0 -2031,VA,0.2359686087215461,0.0,0.0 -2032,VA,0.25839393513336745,0.0,0.0 -2033,VA,0.27654741125897286,0.0,0.0 -2034,VA,0.2950643878418174,0.0,0.0 -2035,VA,0.3185081556615406,0.0,0.0 -2036,VA,0.34674789958786517,0.0,0.0 -2037,VA,0.3677305279768864,0.0,0.0 -2038,VA,0.39245165988173564,0.0,0.0 -2039,VA,0.4172985246385564,0.0,0.0 -2040,VA,0.4421624806877866,0.0,0.0 -2041,VA,0.4662017999264735,0.0,0.0 -2042,VA,0.49030536238768996,0.0,0.0 -2043,VA,0.514424211803337,0.0,0.0 -2044,VA,0.5385880380842012,0.0,0.0 -2045,VA,0.5677981347630788,0.0,0.0 -2046,VA,0.5732126606085391,0.0,0.0 -2047,VA,0.578489282416637,0.0,0.0 -2048,VA,0.5836267007536858,0.0,0.0 -2049,VA,0.5885983309415219,0.0,0.0 -2050,VA,0.5935019604235425,0.0,0.0 -2010,VT,0.0,0.0,0.0 -2011,VT,0.0,0.0,0.0 -2012,VT,0.0,0.0,0.0 -2013,VT,0.0,0.0,0.0 -2014,VT,0.0,0.0,0.0 -2015,VT,0.0,0.0,0.0 -2016,VT,0.0,0.0,0.0 -2017,VT,0.5500000000000002,0.0,0.0 -2018,VT,0.55,0.0,0.0 -2019,VT,0.55,0.0,0.0 -2020,VT,0.5900000000000001,0.0,0.0 -2021,VT,0.5900000000000001,0.0,0.0 -2022,VT,0.5900000000000001,0.0,0.0 -2023,VT,0.6300000000000001,0.0,0.0 -2024,VT,0.6300000000000001,0.0,0.0 -2025,VT,0.6300000000000001,0.0,0.0 -2026,VT,0.6700000000000003,0.0,0.0 -2027,VT,0.7100000000000003,0.0,0.0 -2028,VT,0.7500000000000001,0.0,0.0 -2029,VT,0.7900000000000003,0.0,0.0 -2030,VT,0.9898363366792606,0.0,0.0 -2031,VT,0.9922277868723758,0.0,0.0 -2032,VT,0.9946192370654908,0.0,0.0 -2033,VT,0.9970106872586061,0.0,0.0 -2034,VT,0.9994021374517214,0.0,0.0 -2035,VT,1.0,0.0,0.0 -2036,VT,1.0,0.0,0.0 -2037,VT,1.0,0.0,0.0 -2038,VT,1.0,0.0,0.0 -2039,VT,1.0,0.0,0.0 -2040,VT,1.0,0.0,0.0 -2041,VT,1.0,0.0,0.0 -2042,VT,1.0,0.0,0.0 -2043,VT,1.0,0.0,0.0 -2044,VT,1.0,0.0,0.0 -2045,VT,1.0,0.0,0.0 -2046,VT,1.0,0.0,0.0 -2047,VT,1.0,0.0,0.0 -2048,VT,1.0,0.0,0.0 -2049,VT,1.0,0.0,0.0 -2050,VT,1.0,0.0,0.0 -2010,WA,0.0,0.0,0.0 -2011,WA,0.0,0.0,0.0 -2012,WA,0.02404629506759907,0.0,0.0 -2013,WA,0.02379725676572472,0.0,0.0 -2014,WA,0.024032808826163665,0.0,0.0 -2015,WA,0.024398893992230705,0.0,0.0 -2016,WA,0.07404772513203363,0.0,0.0 -2017,WA,0.07162421163904373,0.0,0.0 -2018,WA,0.07454606502033795,0.0,0.0 -2019,WA,0.07423667387355753,0.0,0.0 -2020,WA,0.1284886411136468,0.0,0.0 -2021,WA,0.12683690076839,0.0,0.0 -2022,WA,0.12571435287054947,0.0,0.0 -2023,WA,0.1319502774020865,0.0,0.0 -2024,WA,0.13188105624864768,0.0,0.0 -2025,WA,0.12933949411219542,0.0,0.0 -2026,WA,0.12681074389302327,0.0,0.0 -2027,WA,0.13295365350366425,0.0,0.0 -2028,WA,0.13073140360902102,0.0,0.0 -2029,WA,0.127893275354455,0.0,0.0 -2030,WA,0.12780431100190945,0.0,0.0 -2031,WA,0.12734605055954862,0.0,0.0 -2032,WA,0.1268097414730748,0.0,0.0 -2033,WA,0.12663919087032935,0.0,0.0 -2034,WA,0.12603869003261564,0.0,0.0 -2035,WA,0.12635697494102938,0.0,0.0 -2036,WA,0.12668672325670752,0.0,0.0 -2037,WA,0.1269416436456402,0.0,0.0 -2038,WA,0.12834577076405862,0.0,0.0 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+2045,VA,0.567798,0,0 +2046,VA,0.573213,0,0 +2047,VA,0.578489,0,0 +2048,VA,0.583627,0,0 +2049,VA,0.588598,0,0 +2050,VA,0.593502,0,0 +2010,VT,0,0,0 +2011,VT,0,0,0 +2012,VT,0,0,0 +2013,VT,0,0,0 +2014,VT,0,0,0 +2015,VT,0,0,0 +2016,VT,0,0,0 +2017,VT,0.550000,0,0 +2018,VT,0.550000,0,0 +2019,VT,0.550000,0,0 +2020,VT,0.590000,0,0 +2021,VT,0.590000,0,0 +2022,VT,0.590000,0,0 +2023,VT,0.630000,0,0 +2024,VT,0.630000,0,0 +2025,VT,0.630000,0,0 +2026,VT,0.670000,0,0 +2027,VT,0.710000,0,0 +2028,VT,0.750000,0,0 +2029,VT,0.790000,0,0 +2030,VT,0.989836,0,0 +2031,VT,0.992228,0,0 +2032,VT,0.994619,0,0 +2033,VT,0.997011,0,0 +2034,VT,0.999402,0,0 +2035,VT,1,0,0 +2036,VT,1,0,0 +2037,VT,1,0,0 +2038,VT,1,0,0 +2039,VT,1,0,0 +2040,VT,1,0,0 +2041,VT,1,0,0 +2042,VT,1,0,0 +2043,VT,1,0,0 +2044,VT,1,0,0 +2045,VT,1,0,0 +2046,VT,1,0,0 +2047,VT,1,0,0 +2048,VT,1,0,0 +2049,VT,1,0,0 +2050,VT,1,0,0 +2010,WA,0,0,0 +2011,WA,0,0,0 +2012,WA,0.024046,0,0 +2013,WA,0.023797,0,0 +2014,WA,0.024033,0,0 +2015,WA,0.024399,0,0 +2016,WA,0.074048,0,0 +2017,WA,0.071624,0,0 +2018,WA,0.074546,0,0 +2019,WA,0.074237,0,0 +2020,WA,0.128489,0,0 +2021,WA,0.126837,0,0 +2022,WA,0.125714,0,0 +2023,WA,0.131950,0,0 +2024,WA,0.131881,0,0 +2025,WA,0.129339,0,0 +2026,WA,0.126811,0,0 +2027,WA,0.132954,0,0 +2028,WA,0.130731,0,0 +2029,WA,0.127893,0,0 +2030,WA,0.127804,0,0 +2031,WA,0.127346,0,0 +2032,WA,0.126810,0,0 +2033,WA,0.126639,0,0 +2034,WA,0.126039,0,0 +2035,WA,0.126357,0,0 +2036,WA,0.126687,0,0 +2037,WA,0.126942,0,0 +2038,WA,0.128346,0,0 +2039,WA,0.128027,0,0 +2040,WA,0.127801,0,0 +2041,WA,0.128165,0,0 +2042,WA,0.128531,0,0 +2043,WA,0.128836,0,0 +2044,WA,0.129025,0,0 +2045,WA,0.129127,0,0 +2046,WA,0.129170,0,0 +2047,WA,0.129323,0,0 +2048,WA,0.129510,0,0 +2049,WA,0.129684,0,0 +2050,WA,0.129770,0,0 +2010,WI,0.060422,0,0 +2011,WI,0.059803,0,0 +2012,WI,0.059183,0,0 +2013,WI,0.059917,0,0 +2014,WI,0.059359,0,0 +2015,WI,0.100506,0,0 +2016,WI,0.098952,0,0 +2017,WI,0.100334,0,0 +2018,WI,0.097490,0,0 +2019,WI,0.101115,0,0 +2020,WI,0.103388,0,0 +2021,WI,0.099648,0,0 +2022,WI,0.098279,0,0 +2023,WI,0.100512,0,0 +2024,WI,0.101461,0,0 +2025,WI,0.098191,0,0 +2026,WI,0.096212,0,0 +2027,WI,0.099213,0,0 +2028,WI,0.100087,0,0 +2029,WI,0.100217,0,0 +2030,WI,0.099525,0,0 +2031,WI,0.099414,0,0 +2032,WI,0.098999,0,0 +2033,WI,0.098620,0,0 +2034,WI,0.097921,0,0 +2035,WI,0.097407,0,0 +2036,WI,0.097075,0,0 +2037,WI,0.096982,0,0 +2038,WI,0.097255,0,0 +2039,WI,0.097339,0,0 +2040,WI,0.097631,0,0 +2041,WI,0.097847,0,0 +2042,WI,0.098089,0,0 +2043,WI,0.098299,0,0 +2044,WI,0.098586,0,0 +2045,WI,0.098722,0,0 +2046,WI,0.098714,0,0 +2047,WI,0.098748,0,0 +2048,WI,0.098842,0,0 +2049,WI,0.098999,0,0 +2050,WI,0.099064,0,0 +2010,voluntary,0.009722,0,0 +2011,voluntary,0.011713,0,0 +2012,voluntary,0.014350,0,0 +2013,voluntary,0.016916,0,0 +2014,voluntary,0.018124,0,0 +2015,voluntary,0.020821,0,0 +2016,voluntary,0.023127,0,0 +2017,voluntary,0.027167,0,0 +2018,voluntary,0.032475,0,0 +2019,voluntary,0.038784,0,0 +2020,voluntary,0.048610,0,0 +2021,voluntary,0.057369,0,0 +2022,voluntary,0.063270,0,0 +2023,voluntary,0.070446,0,0 +2024,voluntary,0.079580,0,0 +2025,voluntary,0.080788,0,0 +2026,voluntary,0.081997,0,0 +2027,voluntary,0.083205,0,0 +2028,voluntary,0.084414,0,0 +2029,voluntary,0.085622,0,0 +2030,voluntary,0.086831,0,0 +2031,voluntary,0.088039,0,0 +2032,voluntary,0.089248,0,0 +2033,voluntary,0.090457,0,0 +2034,voluntary,0.091665,0,0 +2035,voluntary,0.092874,0,0 +2036,voluntary,0.094082,0,0 +2037,voluntary,0.095291,0,0 +2038,voluntary,0.096499,0,0 +2039,voluntary,0.097708,0,0 +2040,voluntary,0.098916,0,0 +2041,voluntary,0.100125,0,0 +2042,voluntary,0.101334,0,0 +2043,voluntary,0.102542,0,0 +2044,voluntary,0.103751,0,0 +2045,voluntary,0.104959,0,0 +2046,voluntary,0.106168,0,0 +2047,voluntary,0.107376,0,0 +2048,voluntary,0.108585,0,0 +2049,voluntary,0.109793,0,0 +2050,voluntary,0.111002,0,0 diff --git a/state_policies/outputs/rps_fraction.csv b/state_policies/outputs/rps_fraction.csv index cdfe79e..2b52adb 100644 --- a/state_policies/outputs/rps_fraction.csv +++ b/state_policies/outputs/rps_fraction.csv @@ -1,1348 +1,1348 @@ t,st,rps_all,rps_solar,rps_wind -2010,AZ,0.0147000856920383,0.0,0.0 -2011,AZ,0.0175737750355804,0.0,0.0 -2012,AZ,0.0207471408763717,0.0,0.0 -2013,AZ,0.0235084649575674,0.0,0.0 -2014,AZ,0.0262111981790624,0.0,0.0 -2015,AZ,0.0294953222714371,0.0,0.0 -2016,AZ,0.0352425344992445,0.0,0.0 -2017,AZ,0.0410070079168953,0.0,0.0 -2018,AZ,0.046557045225467,0.0,0.0 -2019,AZ,0.0514327763130071,0.0,0.0 -2020,AZ,0.0587344900285884,0.0,0.0 -2021,AZ,0.0646195807788038,0.0,0.0 -2022,AZ,0.0705904925438988,0.0,0.0 -2023,AZ,0.0765415030227378,0.0,0.0 -2024,AZ,0.0824251891172926,0.0,0.0 -2025,AZ,0.0883127026256706,0.0,0.0 -2026,AZ,0.0,0.0,0.0 -2027,AZ,0.0,0.0,0.0 -2028,AZ,0.0,0.0,0.0 -2029,AZ,0.0,0.0,0.0 -2030,AZ,0.0,0.0,0.0 -2031,AZ,0.0,0.0,0.0 -2032,AZ,0.0,0.0,0.0 -2033,AZ,0.0,0.0,0.0 -2034,AZ,0.0,0.0,0.0 -2035,AZ,0.0,0.0,0.0 -2036,AZ,0.0,0.0,0.0 -2037,AZ,0.0,0.0,0.0 -2038,AZ,0.0,0.0,0.0 -2039,AZ,0.0,0.0,0.0 -2040,AZ,0.0,0.0,0.0 -2041,AZ,0.0,0.0,0.0 -2042,AZ,0.0,0.0,0.0 -2043,AZ,0.0,0.0,0.0 -2044,AZ,0.0,0.0,0.0 -2045,AZ,0.0,0.0,0.0 -2046,AZ,0.0,0.0,0.0 -2047,AZ,0.0,0.0,0.0 -2048,AZ,0.0,0.0,0.0 -2049,AZ,0.0,0.0,0.0 -2050,AZ,0.0,0.0,0.0 -2010,CA,0.1687749051001499,0.0,0.0 -2011,CA,0.1972831476489689,0.0,0.0 -2012,CA,0.1973249510477631,0.0,0.0 -2013,CA,0.1972417408310773,0.0,0.0 -2014,CA,0.2085368616184435,0.0,0.0 -2015,CA,0.2208675531454824,0.0,0.0 -2016,CA,0.2450391128521983,0.0,0.0 -2017,CA,0.2639269015853366,0.0,0.0 -2018,CA,0.2837526401864058,0.0,0.0 -2019,CA,0.3020471875734475,0.0,0.0 -2020,CA,0.3193346359114227,0.0,0.0 -2021,CA,0.3465638403013428,0.0,0.0 -2022,CA,0.3736869734939639,0.0,0.0 -2023,CA,0.3994319697443771,0.0,0.0 -2024,CA,0.4266946249848649,0.0,0.0 -2025,CA,0.4539572802253526,0.0,0.0 -2026,CA,0.478426693483418,0.0,0.0 -2027,CA,0.5028961067414833,0.0,0.0 -2028,CA,0.5273655199995487,0.0,0.0 -2029,CA,0.5534393502130144,0.0,0.0 -2030,CA,0.5795131804264799,0.0,0.0 -2031,CA,0.5795099582270877,0.0,0.0 -2032,CA,0.5795067360276955,0.0,0.0 -2033,CA,0.5795035138283033,0.0,0.0 -2034,CA,0.5795002916289111,0.0,0.0 -2035,CA,0.579497069429519,0.0,0.0 -2036,CA,0.5794938472301269,0.0,0.0 -2037,CA,0.5794906250307347,0.0,0.0 -2038,CA,0.5794874028313425,0.0,0.0 -2039,CA,0.5794841806319503,0.0,0.0 -2040,CA,0.5794809584325581,0.0,0.0 -2041,CA,0.5794777362331659,0.0,0.0 -2042,CA,0.5794745140337737,0.0,0.0 -2043,CA,0.5794712918343815,0.0,0.0 -2044,CA,0.5794680696349893,0.0,0.0 -2045,CA,0.5794648474355972,0.0,0.0 -2046,CA,0.579461625236205,0.0,0.0 -2047,CA,0.5794584030368128,0.0,0.0 -2048,CA,0.5794551808374206,0.0,0.0 -2049,CA,0.5794519586380285,0.0,0.0 -2050,CA,0.5794487364386363,0.0,0.0 -2010,CO,0.0247340283535652,0.0,0.0 -2011,CO,0.0613395553615037,0.0,0.0 -2012,CO,0.062493756879127,0.0,0.0 -2013,CO,0.0628213167191788,0.0,0.0 -2014,CO,0.0626795588249282,0.0,0.0 -2015,CO,0.1071664612041437,0.0,0.0 -2016,CO,0.1065828236571079,0.0,0.0 -2017,CO,0.106266556994592,0.0,0.0 -2018,CO,0.1068653636512738,0.0,0.0 -2019,CO,0.1049519529098173,0.0,0.0 -2020,CO,0.1940922452222793,0.0,0.0 -2021,CO,0.1940815143983853,0.0,0.0 -2022,CO,0.1950184944412288,0.0,0.0 -2023,CO,0.1939676986492333,0.0,0.0 -2024,CO,0.196129107452092,0.0,0.0 -2025,CO,0.1959947964531434,0.0,0.0 -2026,CO,0.1971187951799265,0.0,0.0 -2027,CO,0.197264798633278,0.0,0.0 -2028,CO,0.1979070542022933,0.0,0.0 -2029,CO,0.1985535781728475,0.0,0.0 -2030,CO,0.1992767810708858,0.0,0.0 -2031,CO,0.2001128847875457,0.0,0.0 -2032,CO,0.2009972238739086,0.0,0.0 -2033,CO,0.2018722053349503,0.0,0.0 -2034,CO,0.2030252372227586,0.0,0.0 -2035,CO,0.2040333661634991,0.0,0.0 -2036,CO,0.2050158128943883,0.0,0.0 -2037,CO,0.2059156175785353,0.0,0.0 -2038,CO,0.2064322253258893,0.0,0.0 -2039,CO,0.2071511920562925,0.0,0.0 -2040,CO,0.2078287812603453,0.0,0.0 -2041,CO,0.2084877812422262,0.0,0.0 -2042,CO,0.2091030793223113,0.0,0.0 -2043,CO,0.2096672214877842,0.0,0.0 -2044,CO,0.2101883323633065,0.0,0.0 -2045,CO,0.2106887366841836,0.0,0.0 -2046,CO,0.2111626605293576,0.0,0.0 -2047,CO,0.2115977388370328,0.0,0.0 -2048,CO,0.2119967862654456,0.0,0.0 -2049,CO,0.2123600028910116,0.0,0.0 -2050,CO,0.2127066734968508,0.0,0.0 -2010,CT,0.0999999999999999,0.0,0.0 -2011,CT,0.1099999999999999,0.0,0.0 -2012,CT,0.12,0.0,0.0 -2013,CT,0.1299967140948223,0.0,0.0 -2014,CT,0.14,0.0,0.0 -2015,CT,0.155,0.0,0.0 -2016,CT,0.17,0.0,0.0 -2017,CT,0.185,0.0,0.0 -2018,CT,0.21,0.0,0.0 -2019,CT,0.235,0.0,0.0 -2020,CT,0.25,0.0,0.0 -2021,CT,0.2649999999999999,0.0,0.0 -2022,CT,0.2799999999999999,0.0,0.0 -2023,CT,0.3,0.0,0.0 -2024,CT,0.32,0.0,0.0 -2025,CT,0.3400000000000001,0.0,0.0 -2026,CT,0.30333333333333334,0.0,0.0 -2027,CT,0.30444444444444446,0.0,0.0 -2028,CT,0.31,0.0,0.0 -2029,CT,0.32,0.0,0.0 -2030,CT,0.3299999999999999,0.0,0.0 -2031,CT,0.3299999999999999,0.0,0.0 -2032,CT,0.33,0.0,0.0 -2033,CT,0.3299999999999999,0.0,0.0 -2034,CT,0.3299999999999999,0.0,0.0 -2035,CT,0.3299999999999999,0.0,0.0 -2036,CT,0.3299999999999999,0.0,0.0 -2037,CT,0.3299999999999999,0.0,0.0 -2038,CT,0.33,0.0,0.0 -2039,CT,0.33,0.0,0.0 -2040,CT,0.3299999999999999,0.0,0.0 -2041,CT,0.33,0.0,0.0 -2042,CT,0.33,0.0,0.0 -2043,CT,0.33,0.0,0.0 -2044,CT,0.33,0.0,0.0 -2045,CT,0.33,0.0,0.0 -2046,CT,0.33,0.0,0.0 -2047,CT,0.33,0.0,0.0 -2048,CT,0.33,0.0,0.0 -2049,CT,0.33,0.0,0.0 -2050,CT,0.3300000000000001,0.0,0.0 -2010,DE,0.0238657619086165,8.369370246123667e-05,0.0 -2011,DE,0.0330860306786666,0.0001101129535925,0.0 -2012,DE,0.0450477641431718,0.001192118242383,0.0 -2013,DE,0.0562020186062028,0.0024531118310906,0.0 -2014,DE,0.0645778976235906,0.0046904512221699,0.0 -2015,DE,0.0673313848954911,0.0067554328399544,0.0 -2016,DE,0.0807068990255427,0.008812713337107,0.0 -2017,DE,0.0938604135606528,0.0108166128795416,0.0 -2018,DE,0.0991818035720289,0.0120077926441191,0.0 -2019,DE,0.1242746412535663,0.01520790250237,0.0 -2020,DE,0.1385757946343265,0.0174332687112175,0.0 -2021,DE,0.1359541137056342,0.0183338389559751,0.0 -2022,DE,0.1507404378168259,0.0208963985255053,0.0 -2023,DE,0.1732302513423693,0.0243873527959755,0.0 -2024,DE,0.17988532962612028,0.026274493999046165,0.0 -2025,DE,0.18654040790987123,0.02816163520211683,0.0 -2026,DE,0.1931954861936222,0.0300487764051875,0.0 -2027,DE,0.19985056447737318,0.0320294370362314,0.0 -2028,DE,0.20650564276112413,0.033823058811328834,0.0 -2029,DE,0.2131607210448751,0.0357102000143995,0.0 -2030,DE,0.21981579932862608,0.0399895072950463,0.0 -2031,DE,0.22647087761237703,0.0442688145756931,0.0 -2032,DE,0.233125955896128,0.0485481218563399,0.0 -2033,DE,0.2537516748687038,0.0551257498204177,0.0 -2034,DE,0.27437739384127957,0.0616443020357181,0.0 -2035,DE,0.2950031128138554,0.0725446785007829,0.0 -2036,DE,0.3222004227625043,0.0834450549658477,0.0 -2037,DE,0.323222171662159,0.0835611832579868,0.0 -2038,DE,0.3255979968685213,0.0840402003548534,0.0 -2039,DE,0.3243282261858439,0.08368010176634352,0.0 -2040,DE,0.3253507352531777,0.0837645085553321,0.0 -2041,DE,0.3261086374009667,0.0838496975597723,0.0 -2042,DE,0.3271750070369919,0.0840231390146128,0.0 -2043,DE,0.3278899283960245,0.0841228433741743,0.0 -2044,DE,0.3287006737714044,0.0842566597369591,0.0 -2045,DE,0.3290014832790219,0.0842720942055593,0.0 -2046,DE,0.3292273481124544,0.0842701732909921,0.0 -2047,DE,0.3299958774711681,0.084407377595461,0.0 -2048,DE,0.3304453199926179,0.0844750435757403,0.0 -2049,DE,0.331010069587565,0.0845781548791117,0.0 -2050,DE,0.3309946512448182,0.0845419400348282,0.0 -2010,IA,0.0065089283551165,0.0,0.0 -2011,IA,0.0064790449440921,0.0,0.0 -2012,IA,0.0064713590947973,0.0,0.0 -2013,IA,0.0063262992214631,0.0,0.0 -2014,IA,0.0062667031313368,0.0,0.0 -2015,IA,0.0062739551133932,0.0,0.0 -2016,IA,0.0061076339787871,0.0,0.0 -2017,IA,0.0060463598818339,0.0,0.0 -2018,IA,0.0057761417033232,0.0,0.0 -2019,IA,0.0057950971205772,0.0,0.0 -2020,IA,0.0058412481455814,0.0,0.0 -2021,IA,0.0055923939962946,0.0,0.0 -2022,IA,0.0054571663635983,0.0,0.0 -2023,IA,0.0054374741120258,0.0,0.0 -2024,IA,0.005390189688384789,0.0,0.0 -2025,IA,0.005342905264743778,0.0,0.0 -2026,IA,0.005295620841102767,0.0,0.0 -2027,IA,0.005248336417461756,0.0,0.0 -2028,IA,0.005201051993820744,0.0,0.0 -2029,IA,0.005153767570179733,0.0,0.0 -2030,IA,0.005106483146538722,0.0,0.0 -2031,IA,0.005059198722897711,0.0,0.0 -2032,IA,0.0050119142992567,0.0,0.0 -2033,IA,0.004964629875615689,0.0,0.0 -2034,IA,0.004917345451974678,0.0,0.0 -2035,IA,0.004870061028333667,0.0,0.0 -2036,IA,0.004822776604692656,0.0,0.0 -2037,IA,0.004775492181051644,0.0,0.0 -2038,IA,0.004728207757410633,0.0,0.0 -2039,IA,0.004680923333769622,0.0,0.0 -2040,IA,0.004633638910128611,0.0,0.0 -2041,IA,0.0045863544864876,0.0,0.0 -2042,IA,0.004539070062846589,0.0,0.0 -2043,IA,0.004491785639205578,0.0,0.0 -2044,IA,0.004444501215564567,0.0,0.0 -2045,IA,0.004397216791923555,0.0,0.0 -2046,IA,0.004349932368282544,0.0,0.0 -2047,IA,0.004302647944641533,0.0,0.0 -2048,IA,0.004255363521000522,0.0,0.0 -2049,IA,0.004208079097359511,0.0,0.0 -2050,IA,0.0041607946737185,0.0,0.0 -2010,IL,0.0236549390979454,0.0,0.0 -2011,IL,0.0324253769425959,0.0,0.0 -2012,IL,0.0376569955715993,0.0,0.0 -2013,IL,0.0469045105398022,0.0,0.0 -2014,IL,0.0535251300435099,0.0,0.0 -2015,IL,0.0562862587263581,0.0,0.0 -2016,IL,0.047161614886916,0.0,0.0 -2017,IL,0.0568181944288807,0.0,0.0 -2018,IL,0.0620344640994215,0.0,0.0 -2019,IL,0.1041021381810108,0.0,0.0 -2020,IL,0.1516583301611423,0.0,0.0 -2021,IL,0.1685921717595472,0.0147522588990752,0.0147522588990752 -2022,IL,0.1751324793732213,0.0405192021530401,0.033152074488851 -2023,IL,0.1933976665528982,0.0585860010360254,0.0479340008476572 -2024,IL,0.2083743068344177,0.073499026769357,0.0601355673567466 -2025,IL,0.2193242234789515,0.0881425963700293,0.0721166697572967 -2026,IL,0.23207344072852026,0.1011921450939555,0.0827935732586909 -2027,IL,0.2449653654537276,0.11616220835772,0.0950418068381346 -2028,IL,0.2766307387820487,0.1309089918424174,0.1071073569619778 -2029,IL,0.3082961121103698,0.1457684815477058,0.1192651212663047 -2030,IL,0.3363454260240828,0.1606004753715482,0.1314003889403576 -2031,IL,0.3643947399377958,0.1756006343173787,0.1436732462596735 -2032,IL,0.3720749626917536,0.1740357822335221,0.1423929127365181 -2033,IL,0.3797551854457114,0.1722135714947115,0.1409020130411276 -2034,IL,0.3874354081996692,0.1695764566288113,0.1387443736053911 -2035,IL,0.395115630953627,0.1668057059655191,0.1364773957899701 -2036,IL,0.4027958537075848,0.1640817467447342,0.1342487018820552 -2037,IL,0.4104760764615426,0.16202728335877817,0.1321921204272741 -2038,IL,0.4181562992155004,0.15997281997282214,0.1309148021806881 -2039,IL,0.4258365219694582,0.15791835658686615,0.12963748393410207 -2040,IL,0.433516744723416,0.15586389320091013,0.12836016568751607 -2041,IL,0.4411969674773738,0.1538094298149541,0.12708284744093004 -2042,IL,0.4434833168175179,0.1528290313045004,0.12580552919434404 -2043,IL,0.4450423741696834,0.15184863279404667,0.12452821094775803 -2044,IL,0.4470626066387477,0.15086823428359297,0.12325089270117201 -2045,IL,0.4487494693645687,0.14988783577313927,0.121973574454586 -2046,IL,0.4494471263883823,0.14890743726268554,0.121303815727084 -2047,IL,0.4496231944359729,0.14792703875223184,0.120634056999582 -2048,IL,0.4499906668835307,0.14694664024177814,0.11996429827208 -2049,IL,0.4511962831211282,0.14596624173132441,0.119294539544578 -2050,IL,0.4517554699587224,0.1449858432208707,0.118624780817076 -2010,KS,0.0,0.0,0.0 -2011,KS,0.0703604775820629,0.0,0.0 -2012,KS,0.0720691246373544,0.0,0.0 -2013,KS,0.0743051961485688,0.0,0.0 -2014,KS,0.0726277647601444,0.0,0.0 -2015,KS,0.0,0.0,0.0 -2016,KS,0.0,0.0,0.0 -2017,KS,0.0,0.0,0.0 -2018,KS,0.0,0.0,0.0 -2019,KS,0.0,0.0,0.0 -2020,KS,0.0,0.0,0.0 -2021,KS,0.0,0.0,0.0 -2022,KS,0.0,0.0,0.0 -2023,KS,0.0,0.0,0.0 -2024,KS,0.0,0.0,0.0 -2025,KS,0.0,0.0,0.0 -2026,KS,0.0,0.0,0.0 -2027,KS,0.0,0.0,0.0 -2028,KS,0.0,0.0,0.0 -2029,KS,0.0,0.0,0.0 -2030,KS,0.0,0.0,0.0 -2031,KS,0.0,0.0,0.0 -2032,KS,0.0,0.0,0.0 -2033,KS,0.0,0.0,0.0 -2034,KS,0.0,0.0,0.0 -2035,KS,0.0,0.0,0.0 -2036,KS,0.0,0.0,0.0 -2037,KS,0.0,0.0,0.0 -2038,KS,0.0,0.0,0.0 -2039,KS,0.0,0.0,0.0 -2040,KS,0.0,0.0,0.0 -2041,KS,0.0,0.0,0.0 -2042,KS,0.0,0.0,0.0 -2043,KS,0.0,0.0,0.0 -2044,KS,0.0,0.0,0.0 -2045,KS,0.0,0.0,0.0 -2046,KS,0.0,0.0,0.0 -2047,KS,0.0,0.0,0.0 -2048,KS,0.0,0.0,0.0 -2049,KS,0.0,0.0,0.0 -2050,KS,0.0,0.0,0.0 -2010,MA,0.0740617683917826,0.0006013446082337,0.0 -2011,MA,0.0823922392797432,0.0014217459036802,0.0 -2012,MA,0.0923053142059698,0.001482736327089,0.0 -2013,MA,0.0826465254717919,0.003444518750343,0.0 -2014,MA,0.0934892158397104,0.0093874370494765,0.0 -2015,MA,0.1046134408759609,0.0226821183100537,0.0 -2016,MA,0.117730769518379,0.0237773680704222,0.0 -2017,MA,0.1269329662337361,0.0442683797214708,0.0 -2018,MA,0.1356415987626335,0.056450114568009,0.0 -2019,MA,0.1428967160308783,0.0606078709749022,0.0 -2020,MA,0.1704319030300908,0.0700316175290056,0.0 -2021,MA,0.1913304809071305,0.0795454299676874,0.0 -2022,MA,0.2092585779301264,0.0852850464618784,0.0 -2023,MA,0.2259569069698712,0.0820796329201788,0.0 -2024,MA,0.24990175168168427,0.08350998864226111,0.0 -2025,MA,0.27384659639349734,0.08494034436434342,0.0 -2026,MA,0.2977914411053104,0.08637070008642574,0.0 -2027,MA,0.32440372359908254,0.08780105580850806,0.0 -2028,MA,0.3510160060928547,0.08923141153059037,0.0 -2029,MA,0.3776282885866268,0.09066176725267268,0.0 -2030,MA,0.3864990494178843,0.092092122974755,0.0 -2031,MA,0.3953698102491417,0.0950866958890989,0.0 -2032,MA,0.4042405710803991,0.0975836323365616,0.0 -2033,MA,0.4131113319116565,0.0996800268662062,0.0 -2034,MA,0.42198209274291393,0.1014471109283749,0.0 -2035,MA,0.4308528535741713,0.1030005695713209,0.0 -2036,MA,0.4397236144054287,0.1045312686384646,0.0 -2037,MA,0.4485943752366861,0.1061961563496318,0.0 -2038,MA,0.4574651360679435,0.1072953933725425,0.0 -2039,MA,0.4663358968992009,0.1058024955410116,0.0 -2040,MA,0.4752066577304583,0.1044829892049935,0.0 -2041,MA,0.4840774185617157,0.1032209343703282,0.0 -2042,MA,0.49294817939297314,0.1027777947760357,0.0 -2043,MA,0.5018189402242306,0.1020344730133901,0.0 -2044,MA,0.5106897010554879,0.1013816519473702,0.0 -2045,MA,0.5195604618867453,0.1007742357396025,0.0 -2046,MA,0.5284312227180027,0.1001601179638858,0.0 -2047,MA,0.5373019835492601,0.0996915466182319,0.0 -2048,MA,0.5461727443805174,0.0993251181494575,0.0 -2049,MA,0.5550435052117748,0.0991068102501214,0.0 -2050,MA,0.5639142660430322,0.0986782716877062,0.0 -2010,MD,0.0538113456393643,0.0006232483744567,0.0 -2011,MD,0.0715298955961376,0.0010010225554662,0.0 -2012,MD,0.0859542801067794,0.0015358138323872,0.0 -2013,MD,0.102017055141494,0.0026690325988259,0.0 -2014,MD,0.1217340825351954,0.0035909361499254,0.0 -2015,MD,0.1254979617868896,0.0048798603936135,0.0 -2016,MD,0.1458485127925992,0.006613460808076,0.0 -2017,MD,0.1509077738180885,0.0102114490119516,0.0 -2018,MD,0.1751728498722088,0.0130837693148976,0.0 -2019,MD,0.2183062810748678,0.0445170326918283,0.0 -2020,MD,0.2819152336041596,0.0506356074930243,0.0 -2021,MD,0.3143634358256015,0.062538436616252,0.0 -2022,MD,0.3177909758761681,0.0475482975111653,0.0 -2023,MD,0.3415363602410006,0.051948807322977,0.0 -2024,MD,0.3658464999810897,0.056672261734628436,0.0069381403850923 -2025,MD,0.39015663972117887,0.061395716146279866,0.0138762807701846 -2026,MD,0.414466779461268,0.0661191705579313,0.06093138199537205 -2027,MD,0.4500135447855639,0.0768455873087093,0.1079864832205595 -2028,MD,0.470756543607448,0.0893249809054499,0.1079864832205596 -2029,MD,0.5349929598079665,0.1018901525628927,0.1079864832205595 -2030,MD,0.5495515385998613,0.1181952759629673,0.1079864832205596 -2031,MD,0.5599539312646074,0.11926111266476193,0.1079864832205595 -2032,MD,0.5689201063183246,0.12032694936655655,0.1079864832205596 -2033,MD,0.5690144026448972,0.12139278606835116,0.1079864832205595 -2034,MD,0.5691213533325324,0.12245862277014578,0.1079864832205595 -2035,MD,0.5692272541986805,0.123585059415478,0.1079864832205595 -2036,MD,0.5693212474438142,0.1246413175202076,0.1079864832205595 -2037,MD,0.5694064884819333,0.1256888234179226,0.1079864832205595 -2038,MD,0.5694616185221286,0.1267802386915289,0.1079864832205595 -2039,MD,0.5695407299829859,0.1278216150119822,0.1079864832205595 -2040,MD,0.5696104930923213,0.1288536429809135,0.1079864832205595 -2041,MD,0.569674373646536,0.1299538087685391,0.1079864832205595 -2042,MD,0.5697275718388476,0.1300070069608508,0.1079864832205595 -2043,MD,0.5697745848756594,0.1300540199976625,0.1079864832205595 -2044,MD,0.5698136947767483,0.1300931298987513,0.1079864832205595 -2045,MD,0.5698516298471015,0.1301310649691044,0.1079864832205596 -2046,MD,0.5698893627714463,0.1301687978934494,0.1079864832205595 -2047,MD,0.569919346444093,0.1301987815660962,0.1079864832205596 -2048,MD,0.5699454882969798,0.1302249234189831,0.1079864832205595 -2049,MD,0.5699659556010424,0.1302453907230454,0.1079864832205595 -2050,MD,0.5699882627656399,0.1302676978876431,0.1079864832205595 -2010,ME,0.3130886604653203,0.0,0.0 -2011,ME,0.3510433838190474,0.0,0.0 -2012,ME,0.3556933438643999,0.0,0.0 -2013,ME,0.3717492000846056,0.0,0.0 -2014,ME,0.3862089622509961,0.0,0.0 -2015,ME,0.3902921311349948,0.0,0.0 -2016,ME,0.4001778145752013,0.0,0.0 -2017,ME,0.4133320424449069,0.0,0.0 -2018,ME,0.4051353150776941,0.0,0.0 -2019,ME,0.4056805507333414,0.0,0.0 -2020,ME,0.4371518871931172,0.0,0.0 -2021,ME,0.4598965873386648,0.0,0.0 -2022,ME,0.4887617632503287,0.0,0.0 -2023,ME,0.5062428370742185,0.0,0.0 -2024,ME,0.542407463926183,0.0,0.0 -2025,ME,0.5779717466435469,0.0,0.0 -2026,ME,0.6143428308141868,0.0,0.0 -2027,ME,0.6492755697064648,0.0,0.0 -2028,ME,0.6854930237922947,0.0,0.0 -2029,ME,0.7217104778781246,0.0,0.0 -2030,ME,0.7669979355136263,0.0,0.0 -2031,ME,0.7764184790340721,0.0,0.0 -2032,ME,0.7863186901759227,0.0,0.0 -2033,ME,0.7962189013177734,0.0,0.0 -2034,ME,0.8061191124596241,0.0,0.0 -2035,ME,0.8160193236014747,0.0,0.0 -2036,ME,0.8259195347433252,0.0,0.0 -2037,ME,0.8358197458851759,0.0,0.0 -2038,ME,0.8456663062514022,0.0,0.0 -2039,ME,0.8555096651222002,0.0,0.0 -2040,ME,0.8652985871317473,0.0,0.0 -2041,ME,0.8659029588232344,0.0,0.0 -2042,ME,0.8661151691161718,0.0,0.0 -2043,ME,0.8664711303776552,0.0,0.0 -2044,ME,0.8667837527464077,0.0,0.0 -2045,ME,0.8670746316772133,0.0,0.0 -2046,ME,0.8673687198488896,0.0,0.0 -2047,ME,0.8675931088761938,0.0,0.0 -2048,ME,0.86776858381389,0.0,0.0 -2049,ME,0.86787312690565,0.0,0.0 -2050,ME,0.8680783450694892,0.0,0.0 -2010,MI,0.0,0.0,0.0 -2011,MI,0.0,0.0,0.0 -2012,MI,0.0331807674820671,0.0,0.0 -2013,MI,0.0465643399297465,0.0,0.0 -2014,MI,0.0569869833494406,0.0,0.0 -2015,MI,0.0928298340612428,0.0,0.0 -2016,MI,0.0910633982644901,0.0,0.0 -2017,MI,0.0933589670031634,0.0,0.0 -2018,MI,0.0907179447061068,0.0,0.0 -2019,MI,0.1172957270613993,0.0,0.0 -2020,MI,0.122419353114552,0.0,0.0 -2021,MI,0.138704692693707,0.0,0.0 -2022,MI,0.1348223116418812,0.0,0.0 -2023,MI,0.1351134673622012,0.0,0.0 -2024,MI,0.17134408346708224,0.0,0.0 -2025,MI,0.2075746995719633,0.0,0.0 -2026,MI,0.24380531567684438,0.0,0.0 -2027,MI,0.2800359317817254,0.0,0.0 -2028,MI,0.31626654788660646,0.0,0.0 -2029,MI,0.35249716399148756,0.0,0.0 -2030,MI,0.3887277800963686,0.0,0.0 -2031,MI,0.3994236976751349,0.0,0.0 -2032,MI,0.4101196152539012,0.0,0.0 -2033,MI,0.4208155328326675,0.0,0.0 -2034,MI,0.4315114504114338,0.0,0.0 -2035,MI,0.4422073679902001,0.0,0.0 -2036,MI,0.44451818185521635,0.0,0.0 -2037,MI,0.4468289957202326,0.0,0.0 -2038,MI,0.44913980958524885,0.0,0.0 -2039,MI,0.4514506234502651,0.0,0.0 -2040,MI,0.45376143731528135,0.0,0.0 -2041,MI,0.4560722511802976,0.0,0.0 -2042,MI,0.45838306504531384,0.0,0.0 -2043,MI,0.46069387891033015,0.0,0.0 -2044,MI,0.4662977580200647,0.0,0.0 -2045,MI,0.4709722485074084,0.0,0.0 -2046,MI,0.4720020655438913,0.0,0.0 -2047,MI,0.4730698336292264,0.0,0.0 -2048,MI,0.4744052729791567,0.0,0.0 -2049,MI,0.4760168323291864,0.0,0.0 -2050,MI,0.4768695759654439,0.0,0.0 -2010,MN,0.1077267217713373,0.0,0.0 -2011,MN,0.1073142221098629,0.0,0.0 -2012,MN,0.147767768348589,0.0,0.0 -2013,MN,0.147322963700159,0.0,0.0 -2014,MN,0.1467455144049857,0.0,0.0 -2015,MN,0.1472124894077333,0.0,0.0 -2016,MN,0.2062775938662552,0.0,0.0 -2017,MN,0.2052946632876949,0.0,0.0 -2018,MN,0.2053075854704306,0.0,0.0 -2019,MN,0.2046966945443656,0.0,0.0 -2020,MN,0.2437567409282011,0.0075700197890531,0.0 -2021,MN,0.2431047539143303,0.0076707489422303,0.0 -2022,MN,0.2433406041418156,0.0076137480739595,0.0 -2023,MN,0.1998288896678912,0.00763472548739,0.0 -2024,MN,0.22897060274445868,0.007643671072406352,0.0 -2025,MN,0.2581123158210261,0.007652616657422704,0.0 -2026,MN,0.2872540288975936,0.007661562242439055,0.0 -2027,MN,0.3163957419741611,0.007670507827455407,0.0 -2028,MN,0.3455374550507285,0.007679453412471759,0.0 -2029,MN,0.37467916812729607,0.007688398997488111,0.0 -2030,MN,0.4038208812038635,0.007697344582504463,0.0 -2031,MN,0.432962594280431,0.007706290167520815,0.0 -2032,MN,0.4621043073569985,0.007715235752537166,0.0 -2033,MN,0.4912460204335659,0.007724181337553518,0.0 -2034,MN,0.5203877335101335,0.00773312692256987,0.0 -2035,MN,0.5495294465867009,0.007742072507586222,0.0 -2036,MN,0.5495294465867009,0.007751018092602574,0.0 -2037,MN,0.549529446586701,0.007759963677618925,0.0 -2038,MN,0.5495294465867009,0.007768909262635277,0.0 -2039,MN,0.5495294465867009,0.0077815949076329,0.0 -2040,MN,0.5495294465867009,0.0077952975239675,0.0 -2041,MN,0.5495294465867009,0.0078079044062189,0.0 -2042,MN,0.5495294465867009,0.0078190828105673,0.0 -2043,MN,0.5495294465867009,0.0078287072649284,0.0 -2044,MN,0.5495294465867008,0.0078360967393971,0.0 -2045,MN,0.5495294465867008,0.0078436675440119,0.0 -2046,MN,0.5495294465867008,0.0078518541771216,0.0 -2047,MN,0.5495294465867008,0.0078590556550908,0.0 -2048,MN,0.5495294465867008,0.0078654851700916,0.0 -2049,MN,0.5495294465867008,0.0078707925882085,0.0 -2050,MN,0.5495294465867008,0.0078762562828315,0.0 -2010,MO,0.0,0.0,0.0 -2011,MO,0.013640727528767,0.0002065012796119,0.0 -2012,MO,0.0136807078740478,0.0002073166181031,0.0 -2013,MO,0.0136228894034253,0.0002063030938774,0.0 -2014,MO,0.0339949262648851,0.0005128565070557,0.0 -2015,MO,0.0340276751791396,0.0005131376740462,0.0 -2016,MO,0.0334388257052769,0.0005020343651923,0.0 -2017,MO,0.0333405793507645,0.0005003160745118,0.0 -2018,MO,0.0661430487805018,0.0009897724595226,0.0 -2019,MO,0.0660562446383014,0.0009872416611184,0.0 -2020,MO,0.0658495597218306,0.0009853581024482,0.0 -2021,MO,0.0984781309551002,0.0014696166596279,0.0 -2022,MO,0.098489331486407,0.0014647862385608,0.0 -2023,MO,0.0982992361624665,0.0014662134584295,0.0 -2024,MO,0.0984220915846749,0.0014675906622423,0.0 -2025,MO,0.0984238776552883,0.0014675906622423,0.0 -2026,MO,0.0984251347823614,0.0014675906622423,0.0 -2027,MO,0.0984249023565866,0.0014675906622423,0.0 -2028,MO,0.0984251287270719,0.0014675906622423,0.0 -2029,MO,0.0984252888604231,0.0014675906622423,0.0 -2030,MO,0.098425482181369,0.0014675906622423,0.0 -2031,MO,0.0984256466176886,0.0014675906622423,0.0 -2032,MO,0.0984260801017816,0.0014675906622423,0.0 -2033,MO,0.0984266049708646,0.0014675906622423,0.0 -2034,MO,0.0984273923394668,0.0014675906622423,0.0 -2035,MO,0.0984282409908527,0.0014675906622423,0.0 -2036,MO,0.0984290977799348,0.0014675906622423,0.0 -2037,MO,0.0984299202865773,0.0014675906622423,0.0 -2038,MO,0.0984305495399745,0.0014675906622423,0.0 -2039,MO,0.0984312814369249,0.0014675906622423,0.0 -2040,MO,0.098431867621113,0.0014675906622423,0.0 -2041,MO,0.0984324088573136,0.0014675906622423,0.0 -2042,MO,0.0984328921812031,0.0014675906622423,0.0 -2043,MO,0.0984333117330805,0.0014675906622423,0.0 -2044,MO,0.0984336417402095,0.0014675906622423,0.0 -2045,MO,0.0984339618019364,0.0014675906622423,0.0 -2046,MO,0.0984343130150488,0.0014675906622423,0.0 -2047,MO,0.0984346264027702,0.0014675906622423,0.0 -2048,MO,0.0984349051758528,0.0014675906622423,0.0 -2049,MO,0.0984351391514262,0.0014675906622423,0.0 -2050,MO,0.0984353898733151,0.0014675906622423,0.0 -2010,MT,0.0702274013721679,0.0,0.0 -2011,MT,0.06992361010934,0.0,0.0 -2012,MT,0.0702469014958325,0.0,0.0 -2013,MT,0.0707172442292277,0.0,0.0 -2014,MT,0.0710287446271526,0.0,0.0 -2015,MT,0.1073245795655368,0.0,0.0 -2016,MT,0.1075163427431213,0.0,0.0 -2017,MT,0.1077209147515074,0.0,0.0 -2018,MT,0.1063706508154778,0.0,0.0 -2019,MT,0.1020459725567154,0.0,0.0 -2020,MT,0.1112562078400162,0.0,0.0 -2021,MT,0.0,0.0,0.0 -2022,MT,0.0,0.0,0.0 -2023,MT,0.0,0.0,0.0 -2024,MT,0.0,0.0,0.0 -2025,MT,0.0,0.0,0.0 -2026,MT,0.0,0.0,0.0 -2027,MT,0.0,0.0,0.0 -2028,MT,0.0,0.0,0.0 -2029,MT,0.0,0.0,0.0 -2030,MT,0.0,0.0,0.0 -2031,MT,0.0,0.0,0.0 -2032,MT,0.0,0.0,0.0 -2033,MT,0.0,0.0,0.0 -2034,MT,0.0,0.0,0.0 -2035,MT,0.0,0.0,0.0 -2036,MT,0.0,0.0,0.0 -2037,MT,0.0,0.0,0.0 -2038,MT,0.0,0.0,0.0 -2039,MT,0.0,0.0,0.0 -2040,MT,0.0,0.0,0.0 -2041,MT,0.0,0.0,0.0 -2042,MT,0.0,0.0,0.0 -2043,MT,0.0,0.0,0.0 -2044,MT,0.0,0.0,0.0 -2045,MT,0.0,0.0,0.0 -2046,MT,0.0,0.0,0.0 -2047,MT,0.0,0.0,0.0 -2048,MT,0.0,0.0,0.0 -2049,MT,0.0,0.0,0.0 -2050,MT,0.0,0.0,0.0 -2010,NC,0.0001996493492754,0.0001996493492754,0.0 -2011,NC,0.000207767245073,0.000207767245073,0.0 -2012,NC,0.0172178652099119,0.0007151329649781,0.0 -2013,NC,0.016978977505801,0.0006896829212504,0.0 -2014,NC,0.015591457190035,0.0006812045427491,0.0 -2015,NC,0.0329878031476769,0.0013902191376376,0.0 -2016,NC,0.032852192194934,0.001391982997213,0.0 -2017,NC,0.0330641622385504,0.0014295703728251,0.0 -2018,NC,0.0571540381058946,0.0018976787358015,0.0 -2019,NC,0.0554840723270337,0.0020239216132049,0.0 -2020,NC,0.0555855611084543,0.0020894501751578,0.0 -2021,NC,0.0560395815846501,0.0019190053434093,0.0 -2022,NC,0.0512119732364738,0.0019465814927996,0.0 -2023,NC,0.0523241732940576,0.0020886960344092,0.0 -2024,NC,0.051629646855734075,0.002084674621553678,0.0 -2025,NC,0.05093512041741056,0.0020806532086981556,0.0 -2026,NC,0.050240593979087034,0.0020766317958426333,0.0 -2027,NC,0.04954606754076351,0.002072610382987111,0.0 -2028,NC,0.048851541102439985,0.002068588970131589,0.0 -2029,NC,0.04815701466411647,0.0020645675572760667,0.0 -2030,NC,0.047462488225792944,0.0020605461444205444,0.0 -2031,NC,0.04676796178746942,0.002056524731565022,0.0 -2032,NC,0.0460734353491459,0.0020525033187095,0.0 -2033,NC,0.04537890891082238,0.0020484819058539778,0.0 -2034,NC,0.044684382472498854,0.0020444604929984555,0.0 -2035,NC,0.04398985603417534,0.0020404390801429333,0.0 -2036,NC,0.04329532959585181,0.002036417667287411,0.0 -2037,NC,0.04260080315752829,0.002032396254431889,0.0 -2038,NC,0.041906276719204764,0.0020283748415763666,0.0 -2039,NC,0.04121175028088125,0.0020243534287208444,0.0 -2040,NC,0.04051722384255772,0.002020332015865322,0.0 -2041,NC,0.0398226974042342,0.0020163106030098,0.0 -2042,NC,0.03912817096591068,0.0020122891901542777,0.0 -2043,NC,0.03843364452758716,0.0020082677772987555,0.0 -2044,NC,0.03773911808926363,0.0020042463644432333,0.0 -2045,NC,0.03704459165094011,0.002000224951587711,0.0 -2046,NC,0.03635006521261659,0.001996203538732189,0.0 -2047,NC,0.03565553877429307,0.0019921821258766666,0.0 -2048,NC,0.034961012335969543,0.0019881607130211444,0.0 -2049,NC,0.034266485897646026,0.001984139300165622,0.0 -2050,NC,0.0335719594593225,0.0019801178873101,0.0 -2010,NE,0.0,0.0,0.0 -2011,NE,0.0,0.0,0.0 -2012,NE,0.0,0.0,0.0 -2013,NE,0.0,0.0,0.0 -2014,NE,0.0,0.0,0.0 -2015,NE,0.0,0.0,0.0 -2016,NE,0.0,0.0,0.0 -2017,NE,0.0,0.0,0.0 -2018,NE,0.0,0.0,0.0 -2019,NE,0.0,0.0,0.0 -2020,NE,0.0,0.0,0.0 -2021,NE,0.0,0.0,0.0 -2022,NE,0.0,0.0,0.0 -2023,NE,0.0,0.0,0.0 -2024,NE,0.0,0.0,0.0 -2025,NE,0.0,0.0,0.0 -2026,NE,0.0,0.0,0.0 -2027,NE,0.0,0.0,0.0 -2028,NE,0.0,0.0,0.0 -2029,NE,0.0,0.0,0.0 -2030,NE,0.0,0.0,0.0 -2031,NE,0.0,0.0,0.0 -2032,NE,0.0,0.0,0.0 -2033,NE,0.0,0.0,0.0 -2034,NE,0.0,0.0,0.0 -2035,NE,0.0,0.0,0.0 -2036,NE,0.0,0.0,0.0 -2037,NE,0.0,0.0,0.0 -2038,NE,0.0,0.0,0.0 -2039,NE,0.0,0.0,0.0 -2040,NE,0.0,0.0,0.0 -2041,NE,0.0,0.0,0.0 -2042,NE,0.0,0.0,0.0 -2043,NE,0.0,0.0,0.0 -2044,NE,0.0,0.0,0.0 -2045,NE,0.0,0.0,0.0 -2046,NE,0.0,0.0,0.0 -2047,NE,0.0,0.0,0.0 -2048,NE,0.0,0.0,0.0 -2049,NE,0.0,0.0,0.0 -2050,NE,0.0,0.0,0.0 -2010,NH,0.0741599574510582,0.0003934215249393,0.0 -2011,NH,0.0941959048769054,0.0007866046336276,0.0 -2012,NH,0.0551582875057001,0.001490764527181,0.0 -2013,NH,0.0576504644637929,0.0019879470504756,0.0 -2014,NH,0.0636055350833021,0.0029815094570297,0.0 -2015,NH,0.0705576846040252,0.0029813106170714,0.0 -2016,NH,0.0725479549456213,0.0029814228059844,0.0 -2017,NH,0.155027250300868,0.0029812932750166,0.0 -2018,NH,0.1619534443068014,0.0049678970646258,0.0 -2019,NH,0.1661454523676771,0.0058986551136453,0.0 -2020,NH,0.115,0.007,0.0 -2021,NH,0.11,0.0069999999999999,0.0 -2022,NH,0.1099999999999999,0.007,0.0 -2023,NH,0.115,0.007,0.0 -2024,NH,0.1615,0.007,0.0 -2025,NH,0.208,0.007,0.0 -2026,NH,0.2080000000000001,0.007,0.0 -2027,NH,0.2080000000000001,0.007,0.0 -2028,NH,0.208,0.007,0.0 -2029,NH,0.2080000000000001,0.007,0.0 -2030,NH,0.2080000000000001,0.007,0.0 -2031,NH,0.2080000000000001,0.007,0.0 -2032,NH,0.208,0.007,0.0 -2033,NH,0.2080000000000001,0.007,0.0 -2034,NH,0.208,0.007,0.0 -2035,NH,0.2080000000000001,0.007,0.0 -2036,NH,0.208,0.007,0.0 -2037,NH,0.2080000000000001,0.007,0.0 -2038,NH,0.208,0.007,0.0 -2039,NH,0.208,0.007,0.0 -2040,NH,0.208,0.007,0.0 -2041,NH,0.208,0.007,0.0 -2042,NH,0.208,0.007,0.0 -2043,NH,0.208,0.007,0.0 -2044,NH,0.2080000000000001,0.007,0.0 -2045,NH,0.2080000000000001,0.007,0.0 -2046,NH,0.208,0.007,0.0 -2047,NH,0.208,0.007,0.0 -2048,NH,0.208,0.007,0.0 -2049,NH,0.208,0.007,0.0 -2050,NH,0.208,0.007,0.0 -2010,NJ,0.0696355813370365,0.0020779723839434,0.0 -2011,NJ,0.084892555375174,0.0039892277293148,0.0 -2012,NJ,0.0946451214989029,0.0059023449549125,0.0 -2013,NJ,0.1036855005684702,0.008011640968096,0.0 -2014,NJ,0.1244223160262209,0.0203612794646565,0.0 -2015,NJ,0.1328241510893631,0.0236548062927193,0.0 -2016,NJ,0.1474636774806553,0.0272182772717499,0.0 -2017,NJ,0.1618549827607059,0.0303762870367293,0.0 -2018,NJ,0.1716664190512096,0.0304761465167196,0.0 -2019,NJ,0.2129099660569298,0.0436478118734111,0.0 -2020,NJ,0.2080758556678914,0.0494931708485415,0.0 -2021,NJ,0.2296204027126753,0.0498325129291338,0.0 -2022,NJ,0.228762758101286,0.0496463858007046,0.0 -2023,NJ,0.254486412847383,0.0529747226743531,0.0 -2024,NJ,0.31414256983938343,0.0497223891004214,0.0 -2025,NJ,0.3737987268313839,0.0478462370344171,0.0 -2026,NJ,0.40347109045751095,0.0438893730894764,0.0 -2027,NJ,0.4331434540836381,0.0433143454083638,0.0 -2028,NJ,0.45901102447351755,0.0367130548046946,0.0 -2029,NJ,0.484878594863397,0.0300722684086995,0.0 -2030,NJ,0.514888370995211,0.0216743485695126,0.0 -2031,NJ,0.5163882648491217,0.018019880146036234,0.0 -2032,NJ,0.5123045394014817,0.014365411722559868,0.0 -2033,NJ,0.5112041120017145,0.0107109432990835,0.0 -2034,NJ,0.5098530060561477,0.0,0.0 -2035,NJ,0.5097528071710288,0.0,0.0 -2036,NJ,0.5107217686843595,0.0,0.0 -2037,NJ,0.5114325267607952,0.0,0.0 -2038,NJ,0.5143643297183446,0.0,0.0 -2039,NJ,0.5118267435176458,0.0,0.0 -2040,NJ,0.5126769702514369,0.0,0.0 -2041,NJ,0.5131983657857553,0.0,0.0 -2042,NJ,0.5142599065399149,0.0,0.0 -2043,NJ,0.5148701426633334,0.0,0.0 -2044,NJ,0.5156891597939272,0.0,0.0 -2045,NJ,0.515783625776428,0.0,0.0 -2046,NJ,0.5157718689037691,0.0,0.0 -2047,NJ,0.5166116217816135,0.0,0.0 -2048,NJ,0.5170257684214854,0.0,0.0 -2049,NJ,0.5176568565938251,0.0,0.0 -2050,NJ,0.5174352052409356,0.0,0.0 -2010,NM,0.0397841490214346,0.0,0.0 -2011,NM,0.0664389530878085,0.0,0.0 -2012,NM,0.0674934663780782,0.0,0.0 -2013,NM,0.0680906944184097,0.0,0.0 -2014,NM,0.0676646320499835,0.0,0.0 -2015,NM,0.1128238828039318,0.0,0.0 -2016,NM,0.1158318891202168,0.0,0.0 -2017,NM,0.1176052433586632,0.0,0.0 -2018,NM,0.1207620416948243,0.0,0.0 -2019,NM,0.1234798476016541,0.0,0.0 -2020,NM,0.1643163673050205,0.0,0.0 -2021,NM,0.1640832547109601,0.0,0.0 -2022,NM,0.1631541029865854,0.0,0.0 -2023,NM,0.165150937840307,0.0,0.0 -2024,NM,0.26228642058669416,0.0,0.0 -2025,NM,0.3594219033330814,0.0,0.0 -2026,NM,0.37739299849973545,0.0,0.0 -2027,NM,0.3953640936663895,0.0,0.0 -2028,NM,0.41333518883304365,0.0,0.0 -2029,NM,0.4313062839996977,0.0,0.0 -2030,NM,0.4492773791663518,0.0,0.0 -2031,NM,0.4716444207875599,0.0,0.0 -2032,NM,0.49401146240876803,0.0,0.0 -2033,NM,0.5163785040299762,0.0,0.0 -2034,NM,0.5387455456511843,0.0,0.0 -2035,NM,0.5611125872723924,0.0,0.0 -2036,NM,0.5834796288936006,0.0,0.0 -2037,NM,0.6058466705148087,0.0,0.0 -2038,NM,0.6282137121360168,0.0,0.0 -2039,NM,0.6505807537572249,0.0,0.0 -2040,NM,0.6729477953784331,0.0,0.0 -2041,NM,0.6775373965072061,0.0,0.0 -2042,NM,0.6821269976359791,0.0,0.0 -2043,NM,0.6867165987647521,0.0,0.0 -2044,NM,0.6913061998935252,0.0,0.0 -2045,NM,0.6958958010222982,0.0,0.0 -2046,NM,0.7004854021510711,0.0,0.0 -2047,NM,0.7050750032798442,0.0,0.0 -2048,NM,0.7096646044086172,0.0,0.0 -2049,NM,0.7142542055373902,0.0,0.0 -2050,NM,0.7188438066661632,0.0,0.0 -2016,NS,0.25,0.0,0.0 -2017,NS,0.25,0.0,0.0 -2018,NS,0.25,0.0,0.0 -2019,NS,0.25,0.0,0.0 -2020,NS,0.4,0.0,0.0 -2021,NS,0.4,0.0,0.0 -2022,NS,0.4,0.0,0.0 -2023,NS,0.4,0.0,0.0 -2024,NS,0.4,0.0,0.0 -2025,NS,0.4,0.0,0.0 -2026,NS,0.4,0.0,0.0 -2027,NS,0.4,0.0,0.0 -2028,NS,0.4,0.0,0.0 -2029,NS,0.4,0.0,0.0 -2030,NS,0.4,0.0,0.0 -2031,NS,0.4,0.0,0.0 -2032,NS,0.4,0.0,0.0 -2033,NS,0.4,0.0,0.0 -2034,NS,0.4,0.0,0.0 -2035,NS,0.4,0.0,0.0 -2036,NS,0.4,0.0,0.0 -2037,NS,0.4,0.0,0.0 -2038,NS,0.4,0.0,0.0 -2039,NS,0.4,0.0,0.0 -2040,NS,0.4,0.0,0.0 -2041,NS,0.4,0.0,0.0 -2042,NS,0.4,0.0,0.0 -2043,NS,0.4,0.0,0.0 -2044,NS,0.4,0.0,0.0 -2045,NS,0.4,0.0,0.0 -2046,NS,0.4,0.0,0.0 -2047,NS,0.4,0.0,0.0 -2048,NS,0.4,0.0,0.0 -2049,NS,0.4,0.0,0.0 -2050,NS,0.4,0.0,0.0 -2010,NV,0.0734464697828295,0.0,0.0 -2011,NV,0.0904019030496797,0.0,0.0 -2012,NV,0.0893412680543897,0.0,0.0 -2013,NV,0.1084928708780736,0.0,0.0 -2014,NV,0.1081969147041773,0.0,0.0 -2015,NV,0.1295192488391112,0.0,0.0 -2016,NV,0.131121798048275,0.0,0.0 -2017,NV,0.1317663797182874,0.0,0.0 -2018,NV,0.132744483243925,0.0,0.0 -2019,NV,0.1309247885803425,0.0,0.0 -2020,NV,0.1677905276856756,0.0,0.0 -2021,NV,0.1815519044548596,0.0,0.0 -2022,NV,0.2283743743234891,0.0,0.0 -2023,NV,0.2284400869720138,0.0,0.0 -2024,NV,0.2710558312460796,0.0,0.0 -2025,NV,0.302359726488009,0.0,0.0 -2026,NV,0.3397643050499301,0.0,0.0 -2027,NV,0.3771688836118512,0.0,0.0 -2028,NV,0.402133035662993,0.0,0.0 -2029,NV,0.42709718771413485,0.0,0.0 -2030,NV,0.4520613397652767,0.0,0.0 -2031,NV,0.4523034035478261,0.0,0.0 -2032,NV,0.4525813168468718,0.0,0.0 -2033,NV,0.4528568437300611,0.0,0.0 -2034,NV,0.4532429421232798,0.0,0.0 -2035,NV,0.4535621854469355,0.0,0.0 -2036,NV,0.4538791242390195,0.0,0.0 -2037,NV,0.4541690109374529,0.0,0.0 -2038,NV,0.4543101653191221,0.0,0.0 -2039,NV,0.4545401004605164,0.0,0.0 -2040,NV,0.4547586642112862,0.0,0.0 -2041,NV,0.4549710697124959,0.0,0.0 -2042,NV,0.455167600083682,0.0,0.0 -2043,NV,0.4553469714956687,0.0,0.0 -2044,NV,0.4555132971317031,0.0,0.0 -2045,NV,0.4556746569818806,0.0,0.0 -2046,NV,0.4558281601888612,0.0,0.0 -2047,NV,0.4559694257624624,0.0,0.0 -2048,NV,0.4560990128388711,0.0,0.0 -2049,NV,0.4562171822448285,0.0,0.0 -2050,NV,0.456330512389122,0.0,0.0 -2010,NY,0.2372848309184598,0.0,0.0 -2011,NY,0.2486348009691179,0.0,0.0 -2012,NY,0.2615047068267455,0.0,0.0 -2013,NY,0.2624474929809603,0.0,0.0 -2014,NY,0.2730789288720958,0.0,0.0 -2015,NY,0.280684383069529,0.0,0.0 -2016,NY,0.2830170663385254,0.0,0.0 -2017,NY,0.2921815009087902,0.0,0.0 -2018,NY,0.291051818557653,0.0,0.0 -2019,NY,0.3078619191237747,0.0,0.0 -2020,NY,0.3416262551740166,0.0,0.0 -2021,NY,0.3556424599477396,0.0,0.0 -2022,NY,0.3622222222222222,0.0,0.0 -2023,NY,0.4044444444444444,0.0,0.0 -2024,NY,0.44666666666666666,0.0,0.0 -2025,NY,0.4888888888888889,0.0,0.0 -2026,NY,0.5311111111111111,0.0,0.0 -2027,NY,0.5733333333333333,0.0,0.0 -2028,NY,0.6155555555555554,0.0,0.0 -2029,NY,0.6577777777777776,0.0,0.0 -2030,NY,0.7,0.0,0.0 -2031,NY,0.7,0.0,0.0 -2032,NY,0.7,0.0,0.0 -2033,NY,0.7,0.0,0.0 -2034,NY,0.7,0.0,0.0 -2035,NY,0.7,0.0,0.0 -2036,NY,0.7,0.0,0.0 -2037,NY,0.7,0.0,0.0 -2038,NY,0.7,0.0,0.0 -2039,NY,0.7,0.0,0.0 -2040,NY,0.7,0.0,0.0 -2041,NY,0.7,0.0,0.0 -2042,NY,0.7,0.0,0.0 -2043,NY,0.7,0.0,0.0 -2044,NY,0.7,0.0,0.0 -2045,NY,0.7,0.0,0.0 -2046,NY,0.7,0.0,0.0 -2047,NY,0.7,0.0,0.0 -2048,NY,0.7,0.0,0.0 -2049,NY,0.7,0.0,0.0 -2050,NY,0.7,0.0,0.0 -2010,OH,0.0043366887086988,8.673377417397709e-05,0.0 -2011,OH,0.0084016249340377,0.0002520487480211,0.0 -2012,OH,0.0127521524346628,0.0005100860973865,0.0 -2013,OH,0.017143045954588,0.0007714370679564,0.0 -2014,OH,0.0218632108776936,0.0010494341221292,0.0 -2015,OH,0.0211331255305903,0.0010143900254683,0.0 -2016,OH,0.0195206426640219,0.000936990847873,0.0 -2017,OH,0.0264969539968326,0.0011355837427214,0.0 -2018,OH,0.0328430874162337,0.0013137234966493,0.0 -2019,OH,0.0436489794639957,0.0017459591785598,0.0 -2020,OH,0.0468516784620915,0.0,0.0 -2021,OH,0.0483710933588503,0.0,0.0 -2022,OH,0.0492905561899563,0.0,0.0 -2023,OH,0.0521893018962426,0.0,0.0 -2024,OH,0.0530782906503574,0.0,0.0 -2025,OH,0.0555007713102103,0.0,0.0 -2026,OH,0.0608812416808405,0.0,0.0 -2027,OH,0.0,0.0,0.0 -2028,OH,0.0,0.0,0.0 -2029,OH,0.0,0.0,0.0 -2030,OH,0.0,0.0,0.0 -2031,OH,0.0,0.0,0.0 -2032,OH,0.0,0.0,0.0 -2033,OH,0.0,0.0,0.0 -2034,OH,0.0,0.0,0.0 -2035,OH,0.0,0.0,0.0 -2036,OH,0.0,0.0,0.0 -2037,OH,0.0,0.0,0.0 -2038,OH,0.0,0.0,0.0 -2039,OH,0.0,0.0,0.0 -2040,OH,0.0,0.0,0.0 -2041,OH,0.0,0.0,0.0 -2042,OH,0.0,0.0,0.0 -2043,OH,0.0,0.0,0.0 -2044,OH,0.0,0.0,0.0 -2045,OH,0.0,0.0,0.0 -2046,OH,0.0,0.0,0.0 -2047,OH,0.0,0.0,0.0 -2048,OH,0.0,0.0,0.0 -2049,OH,0.0,0.0,0.0 -2050,OH,0.0,0.0,0.0 -2010,OR,0.0,0.0,0.0 -2011,OR,0.0343950882913362,0.0,0.0 -2012,OR,0.0344372627163964,0.0,0.0 -2013,OR,0.0343799625535463,0.0,0.0 -2014,OR,0.0343556945514033,0.0,0.0 -2015,OR,0.1031166898228921,0.0002526924184087,0.0 -2016,OR,0.1019219879986356,0.0002522368176045,0.0 -2017,OR,0.0999574189854794,0.0002386509575177,0.0 -2018,OR,0.0989349614587921,0.0002421308222866,0.0 -2019,OR,0.0977743992761762,0.000236940909502,0.0 -2020,OR,0.135196356701486,0.000234076157231,0.0 -2021,OR,0.1333089177956812,0.0002205963538626,0.0 -2022,OR,0.1313335956944389,0.0002120056654546,0.0 -2023,OR,0.1291240252290816,0.0002059418353607,0.0 -2024,OR,0.14235964290314498,0.0002032635471522963,0.0 -2025,OR,0.1710301312564742,0.0002005852589438926,0.0 -2026,OR,0.1710355646838329,0.0001979069707354889,0.0 -2027,OR,0.1820664959253352,0.00019522868252708518,0.0 -2028,OR,0.19530211359939859,0.00019255039431868148,0.0 -2029,OR,0.20853773127346198,0.0001898721061102778,0.0 -2030,OR,0.2217733489475254,0.00018719381790187407,0.0 -2031,OR,0.2344608012422311,0.00018451552969347038,0.0 -2032,OR,0.24714825353693679,0.00018183724148506666,0.0 -2033,OR,0.2598357058316425,0.00017915895327666296,0.0 -2034,OR,0.2725231581263482,0.00017648066506825927,0.0 -2035,OR,0.2852106104210539,0.00017380237685985555,0.0 -2036,OR,0.2873264378917488,0.00017112408865145186,0.0 -2037,OR,0.2894422653624437,0.00016844580044304814,0.0 -2038,OR,0.2915580928331386,0.00016576751223464444,0.0 -2039,OR,0.29367392030383355,0.00016308922402624075,0.0 -2040,OR,0.31693317442504,0.00016041093581783703,0.0 -2041,OR,0.3169354082782482,0.00015773264760943334,0.0 -2042,OR,0.3169373314091406,0.00015505435940102962,0.0 -2043,OR,0.3169390277464798,0.00015237607119262592,0.0 -2044,OR,0.3169405959239292,0.0001496977829842222,0.0 -2045,OR,0.316942089852627,0.0001470194947758185,0.0 -2046,OR,0.3169435499460434,0.0001443412065674148,0.0 -2047,OR,0.3169448421154695,0.0001416629183590111,0.0 -2048,OR,0.3169460018318388,0.0001389846301506074,0.0 -2049,OR,0.3169470301367438,0.0001363063419422037,0.0 -2050,OR,0.3169480224814776,0.0001336280537338,0.0 -2010,PA,0.0031365633667867,1.5055504160576596e-05,0.0 -2011,PA,0.0292135609018076,0.0001976784287688,0.0 -2012,PA,0.0349502100088283,0.0003245376643676,0.0 -2013,PA,0.03865736771571,0.0004928814383753,0.0 -2014,PA,0.0438124365221699,0.0008178321484138,0.0 -2015,PA,0.0489106141130167,0.0014086256864548,0.0 -2016,PA,0.0540392154015487,0.0024563279727976,0.0 -2017,PA,0.0595073652781322,0.0029089183726793,0.0 -2018,PA,0.0608569875728496,0.0031832885807336,0.0 -2019,PA,0.0698491768155222,0.0038915969940076,0.0 -2020,PA,0.0757012328014333,0.00447444753345,0.0 -2021,PA,0.076191869286544,0.004761991830409,0.0 -2022,PA,0.0772960084402266,0.0048310005275141,0.0 -2023,PA,0.0818089018341811,0.0051130563646363,0.0 -2024,PA,0.08165681022462502,0.005103550639039044,0.0 -2025,PA,0.08150471861506894,0.005094044913441789,0.0 -2026,PA,0.08135262700551286,0.005084539187844533,0.0 -2027,PA,0.08120053539595679,0.005075033462247277,0.0 -2028,PA,0.08104844378640072,0.005065527736650022,0.0 -2029,PA,0.08089635217684464,0.005056022011052767,0.0 -2030,PA,0.08074426056728856,0.005046516285455511,0.0 -2031,PA,0.08059216895773248,0.005037010559858255,0.0 -2032,PA,0.0804400773481764,0.005027504834261,0.0 -2033,PA,0.08028798573862032,0.005017999108663744,0.0 -2034,PA,0.08013589412906424,0.005008493383066488,0.0 -2035,PA,0.07998380251950817,0.0049989876574692334,0.0 -2036,PA,0.07983171090995209,0.004989481931871978,0.0 -2037,PA,0.07967961930039602,0.004979976206274722,0.0 -2038,PA,0.07952752769083994,0.004970470480677466,0.0 -2039,PA,0.07937543608128386,0.004960964755080211,0.0 -2040,PA,0.07922334447172778,0.004951459029482955,0.0 -2041,PA,0.0790712528621717,0.004941953303885699,0.0 -2042,PA,0.07891916125261562,0.0049324475782884444,0.0 -2043,PA,0.07876706964305955,0.004922941852691189,0.0 -2044,PA,0.07861497803350347,0.004913436127093933,0.0 -2045,PA,0.07846288642394739,0.004903930401496678,0.0 -2046,PA,0.07831079481439132,0.004894424675899422,0.0 -2047,PA,0.07815870320483524,0.004884918950302166,0.0 -2048,PA,0.07800661159527916,0.00487541322470491,0.0 -2049,PA,0.07785451998572308,0.004865907499107655,0.0 -2050,PA,0.077702428376167,0.0048564017735104,0.0 -2010,RI,0.0446908366688134,0.0,0.0 -2011,RI,0.054616898719935,0.0,0.0 -2012,RI,0.0645368571211366,0.0,0.0 -2013,RI,0.0744399040395459,0.0,0.0 -2014,RI,0.0843676521999439,0.0,0.0 -2015,RI,0.0843737936607713,0.0,0.0 -2016,RI,0.0992454902060857,0.0,0.0 -2017,RI,0.1141605548331166,0.0,0.0 -2018,RI,0.1290361516360399,0.0,0.0 -2019,RI,0.1436673172448721,0.0,0.0 -2020,RI,0.1585273455780166,0.0,0.0 -2021,RI,0.1733796968388316,0.0,0.0 -2022,RI,0.1882502430742724,0.0,0.0 -2023,RI,0.2278393896887097,0.0,0.0 -2024,RI,0.28232272200557507,0.0,0.0 -2025,RI,0.3368060543224404,0.0,0.0 -2026,RI,0.4061484772711782,0.0,0.0 -2027,RI,0.4754909002199159,0.0,0.0 -2028,RI,0.5497863533792776,0.0,0.0 -2029,RI,0.6290348367492636,0.0,0.0 -2030,RI,0.7132363503298736,0.0,0.0 -2031,RI,0.8023908941211076,0.0,0.0 -2032,RI,0.8964984681229661,0.0,0.0 -2033,RI,0.9906060421248244,0.0,0.0 -2034,RI,0.9906060421248244,0.0,0.0 -2035,RI,0.9906060421248244,0.0,0.0 -2036,RI,0.9906060421248244,0.0,0.0 -2037,RI,0.9906060421248244,0.0,0.0 -2038,RI,0.9906060421248244,0.0,0.0 -2039,RI,0.9906060421248244,0.0,0.0 -2040,RI,0.9906060421248244,0.0,0.0 -2041,RI,0.9906060421248246,0.0,0.0 -2042,RI,0.9906060421248248,0.0,0.0 -2043,RI,0.9906060421248248,0.0,0.0 -2044,RI,0.9906060421248246,0.0,0.0 -2045,RI,0.9906060421248248,0.0,0.0 -2046,RI,0.9906060421248248,0.0,0.0 -2047,RI,0.9906060421248246,0.0,0.0 -2048,RI,0.9906060421248248,0.0,0.0 -2049,RI,0.9906060421248244,0.0,0.0 -2050,RI,0.9906060421248244,0.0,0.0 -2010,TX,0.0248112327713393,0.0,0.0 -2011,TX,0.0307805760581948,0.0,0.0 -2012,TX,0.0332717320751753,0.0,0.0 -2013,TX,0.0402267297008198,0.0,0.0 -2014,TX,0.0399668562400313,0.0,0.0 -2015,TX,0.0444095242478898,0.0,0.0 -2016,TX,0.0452594233309044,0.0,0.0 -2017,TX,0.0449006726852217,0.0,0.0 -2018,TX,0.0425163563541984,0.0,0.0 -2019,TX,0.042030363482005,0.0,0.0 -2020,TX,0.0422768226671284,0.0,0.0 -2021,TX,0.0414292223617465,0.0,0.0 -2022,TX,0.0379655474787008,0.0,0.0 -2023,TX,0.0366261072470379,0.0,0.0 -2024,TX,0.0357122498886796,0.0,0.0 -2025,TX,0.03391306226577583,0.0,0.0 -2026,TX,0.032556539775144805,0.0,0.0 -2027,TX,0.03120001728451377,0.0,0.0 -2028,TX,0.029843494793882736,0.0,0.0 -2029,TX,0.0284869723032517,0.0,0.0 -2030,TX,0.027130449812620666,0.0,0.0 -2031,TX,0.025773927321989635,0.0,0.0 -2032,TX,0.024417404831358604,0.0,0.0 -2033,TX,0.02306088234072757,0.0,0.0 -2034,TX,0.021704359850096534,0.0,0.0 -2035,TX,0.020347837359465503,0.0,0.0 -2036,TX,0.01899131486883447,0.0,0.0 -2037,TX,0.017634792378203434,0.0,0.0 -2038,TX,0.0162782698875724,0.0,0.0 -2039,TX,0.014921747396941368,0.0,0.0 -2040,TX,0.013565224906310337,0.0,0.0 -2041,TX,0.012208702415679302,0.0,0.0 -2042,TX,0.010852179925048267,0.0,0.0 -2043,TX,0.009495657434417232,0.0,0.0 -2044,TX,0.008139134943786201,0.0,0.0 -2045,TX,0.0067826124531551665,0.0,0.0 -2046,TX,0.005426089962524135,0.0,0.0 -2047,TX,0.004069567471893104,0.0,0.0 -2048,TX,0.0027130449812620694,0.0,0.0 -2049,TX,0.0013565224906310347,0.0,0.0 -2050,TX,0.0,0.0,0.0 -2010,VA,0.0,0.0,0.0 -2011,VA,0.0,0.0,0.0 -2012,VA,0.0,0.0,0.0 -2013,VA,0.0,0.0,0.0 -2014,VA,0.0,0.0,0.0 -2015,VA,0.0,0.0,0.0 -2016,VA,0.0,0.0,0.0 -2017,VA,0.0,0.0,0.0 -2018,VA,0.0,0.0,0.0 -2019,VA,0.0,0.0,0.0 -2020,VA,0.0,0.0,0.0 -2021,VA,0.0665052829710852,0.0,0.0 -2022,VA,0.075527730024989,0.0,0.0 -2023,VA,0.09179625940714,0.0,0.0 -2024,VA,0.10949475055357726,0.0,0.0 -2025,VA,0.1281823584359713,0.0,0.0 -2026,VA,0.1448917328464518,0.0,0.0 -2027,VA,0.16214174039157658,0.0,0.0 -2028,VA,0.1793917479367014,0.0,0.0 -2029,VA,0.1966417554818262,0.0,0.0 -2030,VA,0.21722581536567326,0.0,0.0 -2031,VA,0.23780987524952032,0.0,0.0 -2032,VA,0.2583939351333674,0.0,0.0 -2033,VA,0.27843200864275847,0.0,0.0 -2034,VA,0.29847008215214954,0.0,0.0 -2035,VA,0.3185081556615406,0.0,0.0 -2036,VA,0.3467478995878651,0.0,0.0 -2037,VA,0.3678038251416706,0.0,0.0 -2038,VA,0.3924516598817356,0.0,0.0 -2039,VA,0.4172985246385564,0.0,0.0 -2040,VA,0.4421624806877866,0.0,0.0 -2041,VA,0.4662017999264735,0.0,0.0 -2042,VA,0.4903305459790494,0.0,0.0 -2043,VA,0.5144592920316253,0.0,0.0 -2044,VA,0.5385880380842012,0.0,0.0 -2045,VA,0.5677981347630788,0.0,0.0 -2046,VA,0.5732126606085391,0.0,0.0 -2047,VA,0.578489282416637,0.0,0.0 -2048,VA,0.5836267007536858,0.0,0.0 -2049,VA,0.5885983309415219,0.0,0.0 -2050,VA,0.5935019604235425,0.0,0.0 -2010,VT,0.0,0.0,0.0 -2011,VT,0.0,0.0,0.0 -2012,VT,0.0,0.0,0.0 -2013,VT,0.0,0.0,0.0 -2014,VT,0.0,0.0,0.0 -2015,VT,0.0,0.0,0.0 -2016,VT,0.0,0.0,0.0 -2017,VT,0.5500000000000002,0.0,0.0 -2018,VT,0.55,0.0,0.0 -2019,VT,0.55,0.0,0.0 -2020,VT,0.5900000000000001,0.0,0.0 -2021,VT,0.5900000000000001,0.0,0.0 -2022,VT,0.5900000000000001,0.0,0.0 -2023,VT,0.6300000000000001,0.0,0.0 -2024,VT,0.6500000000000001,0.0,0.0 -2025,VT,0.6700000000000002,0.0,0.0 -2026,VT,0.6900000000000003,0.0,0.0 -2027,VT,0.7100000000000003,0.0,0.0 -2028,VT,0.7500000000000002,0.0,0.0 -2029,VT,0.7900000000000003,0.0,0.0 -2030,VT,0.9898363366792606,0.0,0.0 -2031,VT,0.9922277868723758,0.0,0.0 -2032,VT,0.9946192370654908,0.0,0.0 -2033,VT,0.997010687258606,0.0,0.0 -2034,VT,0.9994021374517214,0.0,0.0 -2035,VT,1.0,0.0,0.0 -2036,VT,1.0,0.0,0.0 -2037,VT,1.0,0.0,0.0 -2038,VT,1.0,0.0,0.0 -2039,VT,1.0,0.0,0.0 -2040,VT,1.0,0.0,0.0 -2041,VT,1.0,0.0,0.0 -2042,VT,1.0,0.0,0.0 -2043,VT,1.0,0.0,0.0 -2044,VT,1.0,0.0,0.0 -2045,VT,1.0,0.0,0.0 -2046,VT,1.0,0.0,0.0 -2047,VT,1.0,0.0,0.0 -2048,VT,1.0,0.0,0.0 -2049,VT,1.0,0.0,0.0 -2050,VT,1.0,0.0,0.0 -2010,WA,0.0,0.0,0.0 -2011,WA,0.0,0.0,0.0 -2012,WA,0.024046295067599,0.0,0.0 -2013,WA,0.0237972567657247,0.0,0.0 -2014,WA,0.0240328088261636,0.0,0.0 -2015,WA,0.0243988939922307,0.0,0.0 -2016,WA,0.0740477251320336,0.0,0.0 -2017,WA,0.0716242116390437,0.0,0.0 -2018,WA,0.0745460650203379,0.0,0.0 -2019,WA,0.0742366738735575,0.0,0.0 -2020,WA,0.1284886411136468,0.0,0.0 -2021,WA,0.12683690076839,0.0,0.0 -2022,WA,0.1257143528705494,0.0,0.0 -2023,WA,0.1319502774020865,0.0,0.0 -2024,WA,0.1318810562486476,0.0,0.0 -2025,WA,0.1317887586489866,0.0,0.0 -2026,WA,0.13170799927243665,0.0,0.0 -2027,WA,0.1329536535036642,0.0,0.0 -2028,WA,0.13154648051933676,0.0,0.0 -2029,WA,0.1314657211427868,0.0,0.0 -2030,WA,0.13138496176623685,0.0,0.0 -2031,WA,0.1313042023896869,0.0,0.0 -2032,WA,0.13122344301313693,0.0,0.0 -2033,WA,0.131142683636587,0.0,0.0 -2034,WA,0.13106192426003704,0.0,0.0 -2035,WA,0.13098116488348707,0.0,0.0 -2036,WA,0.13090040550693713,0.0,0.0 -2037,WA,0.13081964613038718,0.0,0.0 -2038,WA,0.13073888675383724,0.0,0.0 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From: Yunzhi-Chen Date: Mon, 22 Jun 2026 17:49:32 -0600 Subject: [PATCH 05/16] Update data_processing.py --- state_policies/data_processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/state_policies/data_processing.py b/state_policies/data_processing.py index 54c76d4..64e3e30 100644 --- a/state_policies/data_processing.py +++ b/state_policies/data_processing.py @@ -372,7 +372,7 @@ def interpolate_policy_file(input_path, output_path, index_col='t', state_col='st', column_tolerances=None, - base_year=2023): + base_year=2025): print(f"...Interpolating policy file: {input_path} to {output_path}") From d0f2ac207ce185f8e8d9e15ec66c3d6a65608388 Mon Sep 17 00:00:00 2001 From: Yunzhi-Chen Date: Mon, 22 Jun 2026 17:56:28 -0600 Subject: [PATCH 06/16] update --- state_policies/outputs/ces_fraction.csv | 378 ++++++++--------- state_policies/outputs/rps_fraction.csv | 532 ++++++++++++------------ 2 files changed, 455 insertions(+), 455 deletions(-) diff --git a/state_policies/outputs/ces_fraction.csv b/state_policies/outputs/ces_fraction.csv index 2d448d0..64bc2c7 100644 --- a/state_policies/outputs/ces_fraction.csv +++ b/state_policies/outputs/ces_fraction.csv @@ -13,17 +13,17 @@ 2021,CA,0.346564 2022,CA,0.373687 2023,CA,0.399432 -2024,CA,0.425138 +2024,CA,0.424969 2025,CA,0.453957 -2026,CA,0.476551 -2027,CA,0.502257 -2028,CA,0.548127 -2029,CA,0.593997 -2030,CA,0.639867 -2031,CA,0.685737 -2032,CA,0.731607 -2033,CA,0.777477 -2034,CA,0.823347 +2026,CA,0.478586 +2027,CA,0.503216 +2028,CA,0.527845 +2029,CA,0.552474 +2030,CA,0.605264 +2031,CA,0.658055 +2032,CA,0.710846 +2033,CA,0.763636 +2034,CA,0.816426 2035,CA,0.869217 2036,CA,0.878870 2037,CA,0.888523 @@ -54,12 +54,12 @@ 2021,CO,0.194082 2022,CO,0.195018 2023,CO,0.193968 -2024,CO,0.257553 -2025,CO,0.321138 -2026,CO,0.384723 -2027,CO,0.448309 -2028,CO,0.511894 -2029,CO,0.575479 +2024,CO,0.196129 +2025,CO,0.195995 +2026,CO,0.284609 +2027,CO,0.373223 +2028,CO,0.461836 +2029,CO,0.550450 2030,CO,0.639064 2031,CO,0.646710 2032,CO,0.654687 @@ -95,22 +95,22 @@ 2021,CT,0.265000 2022,CT,0.280000 2023,CT,0.300000 -2024,CT,0.341176 -2025,CT,0.382353 -2026,CT,0.423529 -2027,CT,0.464706 -2028,CT,0.505882 -2029,CT,0.547059 -2030,CT,0.588235 -2031,CT,0.629412 -2032,CT,0.670588 -2033,CT,0.711765 -2034,CT,0.752941 -2035,CT,0.794118 -2036,CT,0.835294 -2037,CT,0.876471 -2038,CT,0.917647 -2039,CT,0.958824 +2024,CT,0.320000 +2025,CT,0.340000 +2026,CT,0.384000 +2027,CT,0.428000 +2028,CT,0.472000 +2029,CT,0.516000 +2030,CT,0.560000 +2031,CT,0.604000 +2032,CT,0.648000 +2033,CT,0.692000 +2034,CT,0.736000 +2035,CT,0.780000 +2036,CT,0.824000 +2037,CT,0.868000 +2038,CT,0.912000 +2039,CT,0.956000 2040,CT,1 2041,CT,1 2042,CT,1 @@ -136,32 +136,32 @@ 2021,IL,0.168592 2022,IL,0.175132 2023,IL,0.193398 -2024,IL,0.209594 -2025,IL,0.225790 -2026,IL,0.241985 -2027,IL,0.258181 -2028,IL,0.274377 +2024,IL,0.208374 +2025,IL,0.219324 +2026,IL,0.241567 +2027,IL,0.263810 +2028,IL,0.286053 2029,IL,0.308296 2030,IL,0.335906 2031,IL,0.364395 -2032,IL,0.371116 -2033,IL,0.377836 -2034,IL,0.384557 -2035,IL,0.391277 -2036,IL,0.397998 -2037,IL,0.404718 -2038,IL,0.411439 -2039,IL,0.418160 -2040,IL,0.424880 +2032,IL,0.362171 +2033,IL,0.359266 +2034,IL,0.363671 +2035,IL,0.374746 +2036,IL,0.385822 +2037,IL,0.396897 +2038,IL,0.407972 +2039,IL,0.419047 +2040,IL,0.430122 2041,IL,0.441197 -2042,IL,0.443483 -2043,IL,0.445042 -2044,IL,0.510538 -2045,IL,0.576033 -2046,IL,0.641529 -2047,IL,0.707024 -2048,IL,0.772520 -2049,IL,0.838015 +2042,IL,0.492565 +2043,IL,0.543933 +2044,IL,0.595302 +2045,IL,0.646670 +2046,IL,0.698038 +2047,IL,0.749406 +2048,IL,0.800775 +2049,IL,0.852143 2050,IL,0.903511 2010,MA,0.104203 2011,MA,0.112431 @@ -177,32 +177,32 @@ 2021,MA,0.388316 2022,MA,0.427725 2023,MA,0.524902 -2024,MA,0.544236 -2025,MA,0.563571 -2026,MA,0.582905 -2027,MA,0.602240 +2024,MA,0.543778 +2025,MA,0.559867 +2026,MA,0.577544 +2027,MA,0.595221 2028,MA,0.621574 -2029,MA,0.637837 -2030,MA,0.654100 -2031,MA,0.670364 -2032,MA,0.686627 -2033,MA,0.702890 +2029,MA,0.630574 +2030,MA,0.648251 +2031,MA,0.665928 +2032,MA,0.683670 +2033,MA,0.701411 2034,MA,0.719153 -2035,MA,0.733093 -2036,MA,0.747032 +2035,MA,0.730980 +2036,MA,0.747243 2037,MA,0.763506 -2038,MA,0.774912 -2039,MA,0.790119 -2040,MA,0.802791 -2041,MA,0.816731 -2042,MA,0.831516 -2043,MA,0.846300 +2038,MA,0.777446 +2039,MA,0.791386 +2040,MA,0.805326 +2041,MA,0.819265 +2042,MA,0.833205 +2043,MA,0.847145 2044,MA,0.861085 2045,MA,0.878826 2046,MA,0.896568 -2047,MA,0.905439 -2048,MA,0.923180 -2049,MA,0.940922 +2047,MA,0.909874 +2048,MA,0.926137 +2049,MA,0.942400 2050,MA,0.958663 2010,ME,0.313089 2011,ME,0.351043 @@ -219,17 +219,17 @@ 2022,ME,0.488762 2023,ME,0.506243 2024,ME,0.542407 -2025,ME,0.578310 +2025,ME,0.577972 2026,ME,0.614343 -2027,ME,0.650132 -2028,ME,0.685921 -2029,ME,0.721710 +2027,ME,0.649630 +2028,ME,0.685459 +2029,ME,0.726228 2030,ME,0.766998 -2031,ME,0.786589 -2032,ME,0.806396 -2033,ME,0.826523 -2034,ME,0.846650 -2035,ME,0.866776 +2031,ME,0.786941 +2032,ME,0.806883 +2033,ME,0.826826 +2034,ME,0.846768 +2035,ME,0.866711 2036,ME,0.886903 2037,ME,0.907012 2038,ME,0.927029 @@ -259,12 +259,12 @@ 2021,MI,0.138705 2022,MI,0.134822 2023,MI,0.135113 -2024,MI,0.171344 -2025,MI,0.207574 -2026,MI,0.243805 -2027,MI,0.280036 -2028,MI,0.316267 -2029,MI,0.352497 +2024,MI,0.134054 +2025,MI,0.130100 +2026,MI,0.181826 +2027,MI,0.233551 +2028,MI,0.285277 +2029,MI,0.337002 2030,MI,0.388728 2031,MI,0.470982 2032,MI,0.553237 @@ -300,12 +300,12 @@ 2021,MN,0.243105 2022,MN,0.243341 2023,MN,0.199829 -2024,MN,0.274169 -2025,MN,0.348508 -2026,MN,0.422848 -2027,MN,0.497188 -2028,MN,0.571528 -2029,MN,0.645867 +2024,MN,0.199829 +2025,MN,0.249786 +2026,MN,0.343870 +2027,MN,0.437954 +2028,MN,0.532039 +2029,MN,0.626123 2030,MN,0.720207 2031,MN,0.756012 2032,MN,0.791816 @@ -341,32 +341,32 @@ 2021,NC,0.058922 2022,NC,0.056922 2023,NC,0.059609 -2024,NC,0.087263 -2025,NC,0.114916 -2026,NC,0.142570 -2027,NC,0.170223 -2028,NC,0.197877 -2029,NC,0.225530 -2030,NC,0.253184 -2031,NC,0.280837 -2032,NC,0.308491 -2033,NC,0.336145 -2034,NC,0.363798 -2035,NC,0.391452 -2036,NC,0.419105 -2037,NC,0.446759 -2038,NC,0.474412 -2039,NC,0.502066 -2040,NC,0.529719 -2041,NC,0.557373 -2042,NC,0.585027 -2043,NC,0.612680 -2044,NC,0.640334 -2045,NC,0.667987 -2046,NC,0.695641 -2047,NC,0.723294 -2048,NC,0.750948 -2049,NC,0.778601 +2024,NC,0.057999 +2025,NC,0.056515 +2026,NC,0.086505 +2027,NC,0.116494 +2028,NC,0.146484 +2029,NC,0.176473 +2030,NC,0.206463 +2031,NC,0.236453 +2032,NC,0.266442 +2033,NC,0.296432 +2034,NC,0.326421 +2035,NC,0.356411 +2036,NC,0.386401 +2037,NC,0.416390 +2038,NC,0.446380 +2039,NC,0.476369 +2040,NC,0.506359 +2041,NC,0.536349 +2042,NC,0.566338 +2043,NC,0.596328 +2044,NC,0.626317 +2045,NC,0.656307 +2046,NC,0.686297 +2047,NC,0.716286 +2048,NC,0.746276 +2049,NC,0.776265 2050,NC,0.806255 2010,NE,0 2011,NE,0 @@ -382,22 +382,22 @@ 2021,NE,0 2022,NE,0 2023,NE,0 -2024,NE,0.005434 -2025,NE,0.010868 -2026,NE,0.016302 -2027,NE,0.021736 -2028,NE,0.027170 -2029,NE,0.032604 -2030,NE,0.038038 -2031,NE,0.043472 -2032,NE,0.048907 -2033,NE,0.054341 -2034,NE,0.059775 -2035,NE,0.065209 -2036,NE,0.070643 -2037,NE,0.076077 -2038,NE,0.081511 -2039,NE,0.086945 +2024,NE,0 +2025,NE,0 +2026,NE,0.006159 +2027,NE,0.012317 +2028,NE,0.018476 +2029,NE,0.024634 +2030,NE,0.030793 +2031,NE,0.036952 +2032,NE,0.043110 +2033,NE,0.049269 +2034,NE,0.055427 +2035,NE,0.061586 +2036,NE,0.067745 +2037,NE,0.073903 +2038,NE,0.080062 +2039,NE,0.086220 2040,NE,0.092379 2041,NE,0.182013 2042,NE,0.271648 @@ -423,7 +423,7 @@ 2021,NM,0.164083 2022,NM,0.163154 2023,NM,0.165151 -2024,NM,0.262286 +2024,NM,0.164412 2025,NM,0.359422 2026,NM,0.377393 2027,NM,0.395364 @@ -465,31 +465,31 @@ 2022,NV,0.228374 2023,NV,0.228440 2024,NV,0.271056 -2025,NV,0.302804 -2026,NV,0.339987 +2025,NV,0.302360 +2026,NV,0.332300 2027,NV,0.377169 -2028,NV,0.401145 -2029,NV,0.425122 +2028,NV,0.392181 +2029,NV,0.422121 2030,NV,0.452061 -2031,NV,0.473074 -2032,NV,0.497051 -2033,NV,0.521027 -2034,NV,0.545003 -2035,NV,0.568979 -2036,NV,0.592956 -2037,NV,0.616932 -2038,NV,0.640908 -2039,NV,0.664885 -2040,NV,0.688861 -2041,NV,0.712837 -2042,NV,0.736814 -2043,NV,0.760790 -2044,NV,0.784766 -2045,NV,0.808742 -2046,NV,0.832719 -2047,NV,0.856695 -2048,NV,0.880671 -2049,NV,0.904648 +2031,NV,0.475889 +2032,NV,0.499717 +2033,NV,0.523545 +2034,NV,0.547374 +2035,NV,0.571202 +2036,NV,0.595030 +2037,NV,0.618858 +2038,NV,0.642686 +2039,NV,0.666514 +2040,NV,0.690342 +2041,NV,0.714171 +2042,NV,0.737999 +2043,NV,0.761827 +2044,NV,0.785655 +2045,NV,0.809483 +2046,NV,0.833311 +2047,NV,0.857140 +2048,NV,0.880968 +2049,NV,0.904796 2050,NV,0.928624 2010,NY,0.237285 2011,NY,0.248635 @@ -546,12 +546,12 @@ 2021,OR,0.133309 2022,OR,0.131334 2023,OR,0.129124 -2024,OR,0.183127 -2025,OR,0.237131 -2026,OR,0.291134 -2027,OR,0.345137 -2028,OR,0.399140 -2029,OR,0.453144 +2024,OR,0.126633 +2025,OR,0.171030 +2026,OR,0.238253 +2027,OR,0.305477 +2028,OR,0.372700 +2029,OR,0.439924 2030,OR,0.507147 2031,OR,0.519834 2032,OR,0.532521 @@ -587,26 +587,26 @@ 2021,VA,0.275161 2022,VA,0.273110 2023,VA,0.289299 -2024,VA,0.302711 -2025,VA,0.316124 -2026,VA,0.329536 -2027,VA,0.342948 -2028,VA,0.356360 -2029,VA,0.369773 -2030,VA,0.383185 +2024,VA,0.298586 +2025,VA,0.308818 +2026,VA,0.324484 +2027,VA,0.340151 +2028,VA,0.355817 +2029,VA,0.371483 +2030,VA,0.387150 2031,VA,0.402816 2032,VA,0.422373 -2033,VA,0.437410 -2034,VA,0.454593 -2035,VA,0.472445 +2033,VA,0.440631 +2034,VA,0.459539 +2035,VA,0.478446 2036,VA,0.497354 -2037,VA,0.515848 -2038,VA,0.537550 -2039,VA,0.559251 +2037,VA,0.518433 +2038,VA,0.539512 +2039,VA,0.560591 2040,VA,0.581670 -2041,VA,0.603376 -2042,VA,0.625353 -2043,VA,0.647387 +2041,VA,0.603666 +2042,VA,0.625662 +2043,VA,0.647658 2044,VA,0.669654 2045,VA,0.697004 2046,VA,0.700722 @@ -628,12 +628,12 @@ 2021,WA,0.126837 2022,WA,0.125714 2023,WA,0.131950 -2024,WA,0.255468 -2025,WA,0.378985 -2026,WA,0.502503 -2027,WA,0.626020 -2028,WA,0.749538 -2029,WA,0.873055 +2024,WA,0.131881 +2025,WA,0.129339 +2026,WA,0.302786 +2027,WA,0.476233 +2028,WA,0.649679 +2029,WA,0.823126 2030,WA,0.996573 2031,WA,0.996671 2032,WA,0.996770 diff --git a/state_policies/outputs/rps_fraction.csv b/state_policies/outputs/rps_fraction.csv index 2b52adb..4a40ef7 100644 --- a/state_policies/outputs/rps_fraction.csv +++ b/state_policies/outputs/rps_fraction.csv @@ -54,7 +54,7 @@ t,st,rps_all,rps_solar,rps_wind 2021,CA,0.346564,0,0 2022,CA,0.373687,0,0 2023,CA,0.399432,0,0 -2024,CA,0.426694,0,0 +2024,CA,0.424969,0,0 2025,CA,0.453957,0,0 2026,CA,0.478427,0,0 2027,CA,0.502896,0,0 @@ -98,10 +98,10 @@ t,st,rps_all,rps_solar,rps_wind 2024,CO,0.196129,0,0 2025,CO,0.195995,0,0 2026,CO,0.197119,0,0 -2027,CO,0.197265,0,0 -2028,CO,0.197907,0,0 -2029,CO,0.198554,0,0 -2030,CO,0.199277,0,0 +2027,CO,0.197332,0,0 +2028,CO,0.198000,0,0 +2029,CO,0.198669,0,0 +2030,CO,0.199337,0,0 2031,CO,0.200113,0,0 2032,CO,0.200997,0,0 2033,CO,0.201872,0,0 @@ -138,8 +138,8 @@ t,st,rps_all,rps_solar,rps_wind 2023,CT,0.300000,0,0 2024,CT,0.320000,0,0 2025,CT,0.340000,0,0 -2026,CT,0.303333,0,0 -2027,CT,0.304444,0,0 +2026,CT,0.290000,0,0 +2027,CT,0.300000,0,0 2028,CT,0.310000,0,0 2029,CT,0.320000,0,0 2030,CT,0.330000,0,0 @@ -177,14 +177,14 @@ t,st,rps_all,rps_solar,rps_wind 2021,DE,0.135954,0.018334,0 2022,DE,0.150740,0.020896,0 2023,DE,0.173230,0.024387,0 -2024,DE,0.179885,0.026274,0 -2025,DE,0.186540,0.028161,0 -2026,DE,0.193195,0.030048,0 -2027,DE,0.199850,0.032029,0 -2028,DE,0.206506,0.033823,0 -2029,DE,0.213161,0.035710,0 -2030,DE,0.219816,0.039989,0 -2031,DE,0.226471,0.044269,0 +2024,DE,0.167294,0.024800,0 +2025,DE,0.177710,0.027126,0 +2026,DE,0.187661,0.029281,0 +2027,DE,0.196600,0.032029,0 +2028,DE,0.201460,0.033681,0 +2029,DE,0.209376,0.035711,0 +2030,DE,0.217293,0.037857,0 +2031,DE,0.225209,0.043203,0 2032,DE,0.233126,0.048548,0 2033,DE,0.253752,0.055126,0 2034,DE,0.274377,0.061644,0 @@ -218,32 +218,32 @@ t,st,rps_all,rps_solar,rps_wind 2021,IA,0.005592,0,0 2022,IA,0.005457,0,0 2023,IA,0.005437,0,0 -2024,IA,0.005390,0,0 -2025,IA,0.005342,0,0 -2026,IA,0.005295,0,0 -2027,IA,0.005248,0,0 -2028,IA,0.005201,0,0 -2029,IA,0.005153,0,0 -2030,IA,0.005106,0,0 -2031,IA,0.005059,0,0 -2032,IA,0.005012,0,0 -2033,IA,0.004964,0,0 -2034,IA,0.004917,0,0 -2035,IA,0.004870,0,0 -2036,IA,0.004823,0,0 -2037,IA,0.004775,0,0 -2038,IA,0.004728,0,0 -2039,IA,0.004681,0,0 -2040,IA,0.004634,0,0 -2041,IA,0.004586,0,0 -2042,IA,0.004539,0,0 -2043,IA,0.004492,0,0 -2044,IA,0.004445,0,0 -2045,IA,0.004397,0,0 -2046,IA,0.004350,0,0 -2047,IA,0.004303,0,0 -2048,IA,0.004256,0,0 -2049,IA,0.004208,0,0 +2024,IA,0.005385,0,0 +2025,IA,0.005051,0,0 +2026,IA,0.005015,0,0 +2027,IA,0.005019,0,0 +2028,IA,0.005008,0,0 +2029,IA,0.005000,0,0 +2030,IA,0.004985,0,0 +2031,IA,0.004968,0,0 +2032,IA,0.004934,0,0 +2033,IA,0.004894,0,0 +2034,IA,0.004829,0,0 +2035,IA,0.004759,0,0 +2036,IA,0.004686,0,0 +2037,IA,0.004624,0,0 +2038,IA,0.004588,0,0 +2039,IA,0.004553,0,0 +2040,IA,0.004517,0,0 +2041,IA,0.004481,0,0 +2042,IA,0.004446,0,0 +2043,IA,0.004410,0,0 +2044,IA,0.004375,0,0 +2045,IA,0.004339,0,0 +2046,IA,0.004303,0,0 +2047,IA,0.004268,0,0 +2048,IA,0.004232,0,0 +2049,IA,0.004197,0,0 2050,IA,0.004161,0,0 2010,IL,0.023655,0,0 2011,IL,0.032425,0,0 @@ -261,21 +261,21 @@ t,st,rps_all,rps_solar,rps_wind 2023,IL,0.193398,0.058586,0.047934 2024,IL,0.208374,0.073499,0.060136 2025,IL,0.219324,0.088143,0.072117 -2026,IL,0.232073,0.101192,0.082794 -2027,IL,0.244965,0.116162,0.095042 -2028,IL,0.276631,0.130909,0.107107 +2026,IL,0.237675,0.101192,0.082794 +2027,IL,0.256026,0.116162,0.095042 +2028,IL,0.274377,0.130909,0.107107 2029,IL,0.308296,0.145768,0.119265 -2030,IL,0.336346,0.160600,0.131400 +2030,IL,0.335906,0.160600,0.131400 2031,IL,0.364395,0.175601,0.143673 -2032,IL,0.372075,0.174036,0.142393 -2033,IL,0.379755,0.172214,0.140902 -2034,IL,0.387436,0.169576,0.138744 -2035,IL,0.395116,0.166806,0.136477 -2036,IL,0.402796,0.164082,0.134249 -2037,IL,0.410476,0.162027,0.132192 -2038,IL,0.418156,0.159973,0.130915 -2039,IL,0.425837,0.157918,0.129638 -2040,IL,0.433517,0.155864,0.128360 +2032,IL,0.362171,0.174036,0.142393 +2033,IL,0.364622,0.172214,0.140902 +2034,IL,0.374194,0.169576,0.138744 +2035,IL,0.383766,0.166806,0.136477 +2036,IL,0.393337,0.164082,0.134249 +2037,IL,0.402909,0.162027,0.132192 +2038,IL,0.412481,0.159973,0.130915 +2039,IL,0.422053,0.157918,0.129638 +2040,IL,0.431625,0.155864,0.128360 2041,IL,0.441197,0.153809,0.127083 2042,IL,0.443483,0.152829,0.125806 2043,IL,0.445042,0.151848,0.124529 @@ -341,16 +341,16 @@ t,st,rps_all,rps_solar,rps_wind 2021,MA,0.191330,0.079545,0 2022,MA,0.209259,0.085285,0 2023,MA,0.225957,0.082080,0 -2024,MA,0.249902,0.083510,0 -2025,MA,0.273846,0.084941,0 -2026,MA,0.297791,0.086371,0 -2027,MA,0.324404,0.087801,0 -2028,MA,0.351016,0.089231,0 -2029,MA,0.377628,0.090662,0 +2024,MA,0.244833,0.075521,0 +2025,MA,0.269793,0.072977,0 +2026,MA,0.297791,0.077217,0 +2027,MA,0.324404,0.082301,0 +2028,MA,0.351016,0.085698,0 +2029,MA,0.377628,0.088881,0 2030,MA,0.386499,0.092092,0 2031,MA,0.395370,0.095087,0 2032,MA,0.404241,0.097584,0 -2033,MA,0.413112,0.099680,0 +2033,MA,0.413111,0.099680,0 2034,MA,0.421982,0.101447,0 2035,MA,0.430853,0.103001,0 2036,MA,0.439724,0.104531,0 @@ -362,7 +362,7 @@ t,st,rps_all,rps_solar,rps_wind 2042,MA,0.492948,0.102778,0 2043,MA,0.501819,0.102034,0 2044,MA,0.510690,0.101382,0 -2045,MA,0.519561,0.100774,0 +2045,MA,0.519560,0.100774,0 2046,MA,0.528431,0.100160,0 2047,MA,0.537302,0.099692,0 2048,MA,0.546173,0.099325,0 @@ -382,11 +382,11 @@ t,st,rps_all,rps_solar,rps_wind 2021,MD,0.314363,0.062538,0 2022,MD,0.317791,0.047548,0 2023,MD,0.341536,0.051949,0 -2024,MD,0.365846,0.056672,0.006938 -2025,MD,0.390157,0.061396,0.013876 -2026,MD,0.414467,0.066119,0.060931 +2024,MD,0.363211,0.055979,0.000202 +2025,MD,0.387128,0.059070,0.013876 +2026,MD,0.418571,0.067958,0.060931 2027,MD,0.450014,0.076846,0.107986 -2028,MD,0.470757,0.089325,0.107986 +2028,MD,0.492504,0.089325,0.107986 2029,MD,0.534993,0.101890,0.107986 2030,MD,0.549552,0.118195,0.107986 2031,MD,0.559954,0.119261,0.107986 @@ -464,12 +464,12 @@ t,st,rps_all,rps_solar,rps_wind 2021,MI,0.138705,0,0 2022,MI,0.134822,0,0 2023,MI,0.135113,0,0 -2024,MI,0.171344,0,0 -2025,MI,0.207574,0,0 -2026,MI,0.243805,0,0 -2027,MI,0.280036,0,0 -2028,MI,0.316267,0,0 -2029,MI,0.352497,0,0 +2024,MI,0.134054,0,0 +2025,MI,0.130100,0,0 +2026,MI,0.181826,0,0 +2027,MI,0.233551,0,0 +2028,MI,0.285277,0,0 +2029,MI,0.337002,0,0 2030,MI,0.388728,0,0 2031,MI,0.399424,0,0 2032,MI,0.410120,0,0 @@ -505,21 +505,21 @@ t,st,rps_all,rps_solar,rps_wind 2021,MN,0.243105,0.007671,0 2022,MN,0.243341,0.007614,0 2023,MN,0.199829,0.007635,0 -2024,MN,0.228971,0.007644,0 -2025,MN,0.258112,0.007653,0 -2026,MN,0.287254,0.007662,0 -2027,MN,0.316396,0.007671,0 -2028,MN,0.345537,0.007680,0 -2029,MN,0.374679,0.007689,0 -2030,MN,0.403821,0.007697,0 -2031,MN,0.432962,0.007706,0 -2032,MN,0.462104,0.007715,0 -2033,MN,0.491246,0.007724,0 -2034,MN,0.520387,0.007733,0 -2035,MN,0.549529,0.007742,0 -2036,MN,0.549529,0.007751,0 -2037,MN,0.549529,0.007760,0 -2038,MN,0.549529,0.007769,0 +2024,MN,0.199829,0.007598,0 +2025,MN,0.249786,0.007624,0 +2026,MN,0.279760,0.007655,0 +2027,MN,0.309735,0.007644,0 +2028,MN,0.339709,0.007654,0 +2029,MN,0.369683,0.007664,0 +2030,MN,0.399657,0.007674,0 +2031,MN,0.429632,0.007684,0 +2032,MN,0.459606,0.007695,0 +2033,MN,0.489580,0.007705,0 +2034,MN,0.519555,0.007715,0 +2035,MN,0.549529,0.007725,0 +2036,MN,0.549529,0.007735,0 +2037,MN,0.549529,0.007748,0 +2038,MN,0.549529,0.007764,0 2039,MN,0.549529,0.007782,0 2040,MN,0.549529,0.007795,0 2041,MN,0.549529,0.007808,0 @@ -551,12 +551,12 @@ t,st,rps_all,rps_solar,rps_wind 2026,MO,0.098425,0.001468,0 2027,MO,0.098425,0.001468,0 2028,MO,0.098425,0.001468,0 -2029,MO,0.098425,0.001468,0 -2030,MO,0.098425,0.001468,0 -2031,MO,0.098426,0.001468,0 -2032,MO,0.098426,0.001468,0 -2033,MO,0.098427,0.001468,0 -2034,MO,0.098427,0.001468,0 +2029,MO,0.098426,0.001468,0 +2030,MO,0.098426,0.001468,0 +2031,MO,0.098427,0.001468,0 +2032,MO,0.098427,0.001468,0 +2033,MO,0.098428,0.001468,0 +2034,MO,0.098428,0.001468,0 2035,MO,0.098428,0.001468,0 2036,MO,0.098429,0.001468,0 2037,MO,0.098430,0.001468,0 @@ -628,32 +628,32 @@ t,st,rps_all,rps_solar,rps_wind 2021,NC,0.056040,0.001919,0 2022,NC,0.051212,0.001947,0 2023,NC,0.052324,0.002089,0 -2024,NC,0.051629,0.002085,0 -2025,NC,0.050935,0.002081,0 -2026,NC,0.050240,0.002077,0 -2027,NC,0.049546,0.002073,0 -2028,NC,0.048851,0.002069,0 -2029,NC,0.048157,0.002065,0 -2030,NC,0.047462,0.002061,0 -2031,NC,0.046768,0.002057,0 -2032,NC,0.046073,0.002053,0 -2033,NC,0.045379,0.002049,0 -2034,NC,0.044684,0.002045,0 -2035,NC,0.043990,0.002041,0 -2036,NC,0.043295,0.002037,0 -2037,NC,0.042601,0.002032,0 -2038,NC,0.041906,0.002028,0 -2039,NC,0.041212,0.002024,0 -2040,NC,0.040517,0.002020,0 -2041,NC,0.039823,0.002016,0 -2042,NC,0.039128,0.002012,0 -2043,NC,0.038434,0.002008,0 -2044,NC,0.037739,0.002004,0 -2045,NC,0.037045,0.002000,0 -2046,NC,0.036350,0.001996,0 -2047,NC,0.035656,0.001992,0 -2048,NC,0.034961,0.001988,0 -2049,NC,0.034267,0.001984,0 +2024,NC,0.050940,0.001941,0 +2025,NC,0.048752,0.001945,0 +2026,NC,0.048145,0.001970,0 +2027,NC,0.047538,0.001996,0 +2028,NC,0.046930,0.001973,0 +2029,NC,0.046416,0.001973,0 +2030,NC,0.045762,0.001973,0 +2031,NC,0.045163,0.001974,0 +2032,NC,0.044502,0.001970,0 +2033,NC,0.043894,0.001966,0 +2034,NC,0.043287,0.001961,0 +2035,NC,0.042680,0.001959,0 +2036,NC,0.042073,0.001960,0 +2037,NC,0.041466,0.001962,0 +2038,NC,0.040858,0.001964,0 +2039,NC,0.040251,0.001965,0 +2040,NC,0.039644,0.001967,0 +2041,NC,0.039037,0.001968,0 +2042,NC,0.038430,0.001970,0 +2043,NC,0.037822,0.001972,0 +2044,NC,0.037215,0.001973,0 +2045,NC,0.036608,0.001973,0 +2046,NC,0.036001,0.001974,0 +2047,NC,0.035394,0.001976,0 +2048,NC,0.034786,0.001977,0 +2049,NC,0.034179,0.001979,0 2050,NC,0.033572,0.001980,0 2010,NE,0,0,0 2011,NE,0,0,0 @@ -710,7 +710,7 @@ t,st,rps_all,rps_solar,rps_wind 2021,NH,0.110000,0.007000,0 2022,NH,0.110000,0.007000,0 2023,NH,0.115000,0.007000,0 -2024,NH,0.161500,0.007000,0 +2024,NH,0.129000,0.007000,0 2025,NH,0.208000,0.007000,0 2026,NH,0.208000,0.007000,0 2027,NH,0.208000,0.007000,0 @@ -751,9 +751,9 @@ t,st,rps_all,rps_solar,rps_wind 2021,NJ,0.229620,0.049833,0 2022,NJ,0.228763,0.049646,0 2023,NJ,0.254486,0.052975,0 -2024,NJ,0.314142,0.049723,0 +2024,NJ,0.282516,0.046926,0 2025,NJ,0.373799,0.047846,0 -2026,NJ,0.403471,0.043889,0 +2026,NJ,0.403471,0.044135,0 2027,NJ,0.433143,0.043314,0 2028,NJ,0.459011,0.036713,0 2029,NJ,0.484879,0.030072,0 @@ -792,7 +792,7 @@ t,st,rps_all,rps_solar,rps_wind 2021,NM,0.164083,0,0 2022,NM,0.163154,0,0 2023,NM,0.165151,0,0 -2024,NM,0.262286,0,0 +2024,NM,0.164412,0,0 2025,NM,0.359422,0,0 2026,NM,0.377393,0,0 2027,NM,0.395364,0,0 @@ -991,32 +991,32 @@ t,st,rps_all,rps_solar,rps_wind 2021,OR,0.133309,0.000221,0 2022,OR,0.131334,0.000212,0 2023,OR,0.129124,0.000206,0 -2024,OR,0.142360,0.000203,0 -2025,OR,0.171030,0.000201,0 -2026,OR,0.171036,0.000198,0 -2027,OR,0.182066,0.000195,0 -2028,OR,0.195302,0.000193,0 -2029,OR,0.208537,0.000190,0 -2030,OR,0.221773,0.000187,0 -2031,OR,0.234461,0.000185,0 -2032,OR,0.247148,0.000182,0 -2033,OR,0.259836,0.000179,0 -2034,OR,0.272523,0.000177,0 -2035,OR,0.285211,0.000174,0 -2036,OR,0.287327,0.000171,0 -2037,OR,0.289443,0.000169,0 -2038,OR,0.291558,0.000166,0 -2039,OR,0.293674,0.000163,0 -2040,OR,0.316933,0.000161,0 -2041,OR,0.316935,0.000158,0 -2042,OR,0.316937,0.000155,0 -2043,OR,0.316939,0.000153,0 -2044,OR,0.316941,0.000150,0 -2045,OR,0.316942,0.000147,0 -2046,OR,0.316944,0.000145,0 -2047,OR,0.316945,0.000142,0 +2024,OR,0.126633,0.000200,0 +2025,OR,0.171030,0.000194,0 +2026,OR,0.181179,0.000192,0 +2027,OR,0.191327,0.000194,0 +2028,OR,0.201476,0.000190,0 +2029,OR,0.211624,0.000187,0 +2030,OR,0.221773,0.000184,0 +2031,OR,0.234461,0.000180,0 +2032,OR,0.247148,0.000177,0 +2033,OR,0.259836,0.000175,0 +2034,OR,0.272523,0.000172,0 +2035,OR,0.285211,0.000170,0 +2036,OR,0.287327,0.000168,0 +2037,OR,0.289443,0.000165,0 +2038,OR,0.291558,0.000163,0 +2039,OR,0.293674,0.000160,0 +2040,OR,0.316933,0.000158,0 +2041,OR,0.316935,0.000156,0 +2042,OR,0.316937,0.000153,0 +2043,OR,0.316939,0.000151,0 +2044,OR,0.316941,0.000148,0 +2045,OR,0.316942,0.000146,0 +2046,OR,0.316944,0.000144,0 +2047,OR,0.316945,0.000141,0 2048,OR,0.316946,0.000139,0 -2049,OR,0.316947,0.000137,0 +2049,OR,0.316947,0.000136,0 2050,OR,0.316948,0.000134,0 2010,PA,0.003137,0.000015,0 2011,PA,0.029214,0.000198,0 @@ -1032,32 +1032,32 @@ t,st,rps_all,rps_solar,rps_wind 2021,PA,0.076192,0.004762,0 2022,PA,0.077296,0.004831,0 2023,PA,0.081809,0.005113,0 -2024,PA,0.081657,0.005103,0 -2025,PA,0.081505,0.005094,0 -2026,PA,0.081353,0.005084,0 -2027,PA,0.081201,0.005075,0 -2028,PA,0.081048,0.005065,0 -2029,PA,0.080896,0.005056,0 -2030,PA,0.080744,0.005046,0 -2031,PA,0.080592,0.005037,0 -2032,PA,0.080440,0.005027,0 -2033,PA,0.080288,0.005018,0 -2034,PA,0.080136,0.005008,0 -2035,PA,0.079984,0.004999,0 -2036,PA,0.079832,0.004989,0 -2037,PA,0.079679,0.004980,0 -2038,PA,0.079527,0.004970,0 -2039,PA,0.079375,0.004961,0 -2040,PA,0.079223,0.004951,0 -2041,PA,0.079071,0.004942,0 -2042,PA,0.078919,0.004932,0 -2043,PA,0.078767,0.004923,0 -2044,PA,0.078615,0.004913,0 -2045,PA,0.078463,0.004904,0 -2046,PA,0.078310,0.004894,0 -2047,PA,0.078158,0.004885,0 -2048,PA,0.078006,0.004875,0 -2049,PA,0.077854,0.004866,0 +2024,PA,0.076199,0.004762,0 +2025,PA,0.077449,0.004841,0 +2026,PA,0.077459,0.004842,0 +2027,PA,0.078502,0.004906,0 +2028,PA,0.077479,0.004843,0 +2029,PA,0.077489,0.004843,0 +2030,PA,0.077500,0.004844,0 +2031,PA,0.077545,0.004847,0 +2032,PA,0.077520,0.004845,0 +2033,PA,0.077530,0.004846,0 +2034,PA,0.077540,0.004846,0 +2035,PA,0.077550,0.004847,0 +2036,PA,0.077560,0.004848,0 +2037,PA,0.077570,0.004848,0 +2038,PA,0.077581,0.004849,0 +2039,PA,0.077591,0.004849,0 +2040,PA,0.077601,0.004850,0 +2041,PA,0.077611,0.004851,0 +2042,PA,0.077621,0.004851,0 +2043,PA,0.077631,0.004852,0 +2044,PA,0.077641,0.004852,0 +2045,PA,0.077651,0.004853,0 +2046,PA,0.077662,0.004854,0 +2047,PA,0.077672,0.004854,0 +2048,PA,0.077682,0.004855,0 +2049,PA,0.077736,0.004858,0 2050,PA,0.077702,0.004856,0 2010,RI,0.044691,0,0 2011,RI,0.054617,0,0 @@ -1073,7 +1073,7 @@ t,st,rps_all,rps_solar,rps_wind 2021,RI,0.173380,0,0 2022,RI,0.188250,0,0 2023,RI,0.227839,0,0 -2024,RI,0.282323,0,0 +2024,RI,0.277370,0,0 2025,RI,0.336806,0,0 2026,RI,0.406148,0,0 2027,RI,0.475491,0,0 @@ -1115,31 +1115,31 @@ t,st,rps_all,rps_solar,rps_wind 2022,TX,0.037966,0,0 2023,TX,0.036626,0,0 2024,TX,0.035712,0,0 -2025,TX,0.033913,0,0 -2026,TX,0.032556,0,0 -2027,TX,0.031200,0,0 -2028,TX,0.029843,0,0 -2029,TX,0.028487,0,0 -2030,TX,0.027130,0,0 -2031,TX,0.025774,0,0 -2032,TX,0.024417,0,0 -2033,TX,0.023061,0,0 -2034,TX,0.021704,0,0 -2035,TX,0.020348,0,0 -2036,TX,0.018991,0,0 -2037,TX,0.017635,0,0 -2038,TX,0.016278,0,0 -2039,TX,0.014922,0,0 -2040,TX,0.013565,0,0 -2041,TX,0.012209,0,0 -2042,TX,0.010852,0,0 -2043,TX,0.009496,0,0 -2044,TX,0.008139,0,0 -2045,TX,0.006783,0,0 -2046,TX,0.005426,0,0 -2047,TX,0.004070,0,0 -2048,TX,0.002713,0,0 -2049,TX,0.001357,0,0 +2025,TX,0,0,0 +2026,TX,0,0,0 +2027,TX,0,0,0 +2028,TX,0,0,0 +2029,TX,0,0,0 +2030,TX,0,0,0 +2031,TX,0,0,0 +2032,TX,0,0,0 +2033,TX,0,0,0 +2034,TX,0,0,0 +2035,TX,0,0,0 +2036,TX,0,0,0 +2037,TX,0,0,0 +2038,TX,0,0,0 +2039,TX,0,0,0 +2040,TX,0,0,0 +2041,TX,0,0,0 +2042,TX,0,0,0 +2043,TX,0,0,0 +2044,TX,0,0,0 +2045,TX,0,0,0 +2046,TX,0,0,0 +2047,TX,0,0,0 +2048,TX,0,0,0 +2049,TX,0,0,0 2050,TX,0,0,0 2010,VA,0,0,0 2011,VA,0,0,0 @@ -1155,27 +1155,27 @@ t,st,rps_all,rps_solar,rps_wind 2021,VA,0.066505,0,0 2022,VA,0.075528,0,0 2023,VA,0.091796,0,0 -2024,VA,0.109495,0,0 +2024,VA,0.109275,0,0 2025,VA,0.128182,0,0 -2026,VA,0.144892,0,0 -2027,VA,0.162142,0,0 -2028,VA,0.179392,0,0 -2029,VA,0.196642,0,0 -2030,VA,0.217226,0,0 -2031,VA,0.237810,0,0 +2026,VA,0.145247,0,0 +2027,VA,0.162311,0,0 +2028,VA,0.179376,0,0 +2029,VA,0.198240,0,0 +2030,VA,0.217105,0,0 +2031,VA,0.235969,0,0 2032,VA,0.258394,0,0 -2033,VA,0.278432,0,0 -2034,VA,0.298470,0,0 -2035,VA,0.318508,0,0 +2033,VA,0.276547,0,0 +2034,VA,0.295064,0,0 +2035,VA,0.320906,0,0 2036,VA,0.346748,0,0 -2037,VA,0.367804,0,0 -2038,VA,0.392452,0,0 +2037,VA,0.370265,0,0 +2038,VA,0.393782,0,0 2039,VA,0.417299,0,0 2040,VA,0.442162,0,0 2041,VA,0.466202,0,0 -2042,VA,0.490331,0,0 -2043,VA,0.514459,0,0 -2044,VA,0.538588,0,0 +2042,VA,0.490305,0,0 +2043,VA,0.516136,0,0 +2044,VA,0.541967,0,0 2045,VA,0.567798,0,0 2046,VA,0.573213,0,0 2047,VA,0.578489,0,0 @@ -1196,9 +1196,9 @@ t,st,rps_all,rps_solar,rps_wind 2021,VT,0.590000,0,0 2022,VT,0.590000,0,0 2023,VT,0.630000,0,0 -2024,VT,0.650000,0,0 -2025,VT,0.670000,0,0 -2026,VT,0.690000,0,0 +2024,VT,0.630000,0,0 +2025,VT,0.630000,0,0 +2026,VT,0.670000,0,0 2027,VT,0.710000,0,0 2028,VT,0.750000,0,0 2029,VT,0.790000,0,0 @@ -1238,31 +1238,31 @@ t,st,rps_all,rps_solar,rps_wind 2022,WA,0.125714,0,0 2023,WA,0.131950,0,0 2024,WA,0.131881,0,0 -2025,WA,0.131789,0,0 -2026,WA,0.131708,0,0 +2025,WA,0.129339,0,0 +2026,WA,0.129356,0,0 2027,WA,0.132954,0,0 -2028,WA,0.131546,0,0 -2029,WA,0.131466,0,0 -2030,WA,0.131385,0,0 -2031,WA,0.131304,0,0 -2032,WA,0.131223,0,0 -2033,WA,0.131143,0,0 -2034,WA,0.131062,0,0 -2035,WA,0.130981,0,0 -2036,WA,0.130900,0,0 -2037,WA,0.130820,0,0 -2038,WA,0.130739,0,0 -2039,WA,0.130658,0,0 -2040,WA,0.130577,0,0 -2041,WA,0.130497,0,0 -2042,WA,0.130416,0,0 -2043,WA,0.130335,0,0 -2044,WA,0.130254,0,0 -2045,WA,0.130174,0,0 -2046,WA,0.130093,0,0 -2047,WA,0.130012,0,0 -2048,WA,0.129931,0,0 -2049,WA,0.129851,0,0 +2028,WA,0.130731,0,0 +2029,WA,0.129408,0,0 +2030,WA,0.129425,0,0 +2031,WA,0.129442,0,0 +2032,WA,0.129460,0,0 +2033,WA,0.129477,0,0 +2034,WA,0.129494,0,0 +2035,WA,0.129511,0,0 +2036,WA,0.129529,0,0 +2037,WA,0.129546,0,0 +2038,WA,0.129563,0,0 +2039,WA,0.129580,0,0 +2040,WA,0.129598,0,0 +2041,WA,0.129615,0,0 +2042,WA,0.129632,0,0 +2043,WA,0.129649,0,0 +2044,WA,0.129667,0,0 +2045,WA,0.129684,0,0 +2046,WA,0.129701,0,0 +2047,WA,0.129718,0,0 +2048,WA,0.129736,0,0 +2049,WA,0.129753,0,0 2050,WA,0.129770,0,0 2010,WI,0.060422,0,0 2011,WI,0.059803,0,0 @@ -1279,31 +1279,31 @@ t,st,rps_all,rps_solar,rps_wind 2022,WI,0.098279,0,0 2023,WI,0.100512,0,0 2024,WI,0.101461,0,0 -2025,WI,0.100405,0,0 -2026,WI,0.100351,0,0 -2027,WI,0.100297,0,0 -2028,WI,0.100244,0,0 +2025,WI,0.098191,0,0 +2026,WI,0.098226,0,0 +2027,WI,0.099213,0,0 +2028,WI,0.100087,0,0 2029,WI,0.100217,0,0 -2030,WI,0.100137,0,0 -2031,WI,0.100083,0,0 -2032,WI,0.100029,0,0 -2033,WI,0.099976,0,0 -2034,WI,0.099922,0,0 -2035,WI,0.099868,0,0 -2036,WI,0.099815,0,0 -2037,WI,0.099761,0,0 -2038,WI,0.099708,0,0 -2039,WI,0.099654,0,0 -2040,WI,0.099600,0,0 -2041,WI,0.099547,0,0 -2042,WI,0.099493,0,0 -2043,WI,0.099439,0,0 -2044,WI,0.099386,0,0 -2045,WI,0.099332,0,0 -2046,WI,0.099279,0,0 -2047,WI,0.099225,0,0 -2048,WI,0.099171,0,0 -2049,WI,0.099118,0,0 +2030,WI,0.099525,0,0 +2031,WI,0.099414,0,0 +2032,WI,0.098999,0,0 +2033,WI,0.098620,0,0 +2034,WI,0.098505,0,0 +2035,WI,0.098540,0,0 +2036,WI,0.098575,0,0 +2037,WI,0.098610,0,0 +2038,WI,0.098645,0,0 +2039,WI,0.098680,0,0 +2040,WI,0.098715,0,0 +2041,WI,0.098750,0,0 +2042,WI,0.098785,0,0 +2043,WI,0.098820,0,0 +2044,WI,0.098854,0,0 +2045,WI,0.098889,0,0 +2046,WI,0.098924,0,0 +2047,WI,0.098959,0,0 +2048,WI,0.098994,0,0 +2049,WI,0.099029,0,0 2050,WI,0.099064,0,0 2010,voluntary,0.009722,0,0 2011,voluntary,0.011713,0,0 From d3e9622997664a8af89b73451bbc48d4e15ba44a Mon Sep 17 00:00:00 2001 From: Yunzhi-Chen Date: Tue, 23 Jun 2026 11:09:29 -0600 Subject: [PATCH 07/16] Update data_processing.py --- state_policies/data_processing.py | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/state_policies/data_processing.py b/state_policies/data_processing.py index 64e3e30..993d574 100644 --- a/state_policies/data_processing.py +++ b/state_policies/data_processing.py @@ -25,12 +25,7 @@ def _format_value(x): ### Input `RPS & CES Targets and Demand_June 2026.xlsx` file and convert it to a DataFrame ### If update the input file, please make sure the below table parameters are updated accordingly. -### This file is provided annually by Galen Barbose at LBNL and downloaded from -### https://emp.lbl.gov/projects/renewables-portfolio -### Note: in the June 2026 release LBNL split the `Non-RE Accounting` sheet out -### of the public workbook. Galen provided that sheet directly to NREL and we -### merged it back into this file as the `Non-RE Accounting` tab, so the layout -### matches the previous all-in-one release. +### This file is provided annually by Galen Barbose at LBNL ### ---------------------------------------------------------------------------- filename = os.path.join("inputs", "RPS & CES Targets and Demand_June 2026.xlsx") From cb08088833744ec387daf0641bea6be9af26caf5 Mon Sep 17 00:00:00 2001 From: Yunzhi-Chen Date: Tue, 23 Jun 2026 11:12:18 -0600 Subject: [PATCH 08/16] Update data_processing.py --- state_policies/data_processing.py | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/state_policies/data_processing.py b/state_policies/data_processing.py index 993d574..cb30cf5 100644 --- a/state_policies/data_processing.py +++ b/state_policies/data_processing.py @@ -32,10 +32,6 @@ def _format_value(x): # `Statewide Sales` sheet as sales data and `RPS & CES Demand (GWh)` sheet for RPS and CES data # are used to calculate `rps_fraction` and `ces_fraction`. -# NOTE: In the June 2026 LBNL release, several sheets were renamed and re-laid out -# compared with previous releases (e.g., "Statewide Load" -> "Statewide Sales", -# "RPS & CES Demand Projections" -> "RPS & CES Demand (GWh)"). The header rows also -# moved. The skiprows/usecols/nrows values below match the June 2026 layout. Salessheetname = "Statewide Sales" Salessheet_usecols = "A:BB" Salessheet_skiprows = 19 @@ -47,12 +43,6 @@ def _format_value(x): RPSsheet_nrows = 96 ### Hydro / Non-RE Accounting input -### ----------------------------------------------------------------------------- -### Read from the same workbook as the RPS/CES targets. The `Non-RE Accounting` -### sheet provides state-by-state GWh of existing hydro / MSW / non-RE -### generation that already counts toward each state's RPS, plus existing hydro -### / nuclear that counts toward each state's CES. Layout is identical to the -### previous LBNL release, so the skiprows/usecols/nrows below are unchanged. Hydrosheetname = "Non-RE Accounting" Hydrosheet_RPS_usecols = "A:E" From dd37fa35ada99e5469dadaa3fcc66f227fc2a56c Mon Sep 17 00:00:00 2001 From: Yunzhi-Chen Date: Wed, 24 Jun 2026 13:37:30 -0600 Subject: [PATCH 09/16] add docstrings to the functions in generate_comparison_plots.py --- .../generate_comparison_plots.py | 50 +++++++++++++++++++ 1 file changed, 50 insertions(+) diff --git a/state_policies/old and new data comparison/generate_comparison_plots.py b/state_policies/old and new data comparison/generate_comparison_plots.py index 853034d..4ff199b 100644 --- a/state_policies/old and new data comparison/generate_comparison_plots.py +++ b/state_policies/old and new data comparison/generate_comparison_plots.py @@ -22,6 +22,30 @@ def plot_rps(value_col, title, fname): + """Plot per-state RPS fraction comparison (old vs new) for one value column. + + Reads the previous run's `rps_fraction0.csv` from `old ReEDS input/`, the + new interpolated `rps_fraction.csv` from `../outputs/`, and the new + un-interpolated intermediate `rps_fraction_intermediate.csv` from + `../outputs/intermediate outputs/`. For every state that appears in either + old or new, draws three series on a per-state subplot: + + * blue squares -> old (June 2025 LBNL) values + * red line -> new (June 2026 LBNL) values, after piecewise interpolation + * red dots -> new (June 2026 LBNL) values, before interpolation + + Saves the resulting figure to `plots/{fname}` and prints the output path. + + Parameters + ---------- + value_col : str + Column to plot from the RPS CSVs. One of `rps_all`, `rps_solar`, + `rps_wind`. + title : str + Figure suptitle. + fname : str + Output PNG filename (saved inside `plots/`). + """ df_old = pd.read_csv(os.path.join(OLD_DIR, "rps_fraction0.csv")) df_new = pd.read_csv(os.path.join(NEW_DIR, "rps_fraction.csv")) df_int = pd.read_csv(os.path.join(INTERMED_DIR, "rps_fraction_intermediate.csv")) @@ -59,6 +83,21 @@ def plot_rps(value_col, title, fname): def plot_ces(): + """Plot per-state CES fraction comparison (old vs new). + + Reads the previous run's `ces_fraction0.csv` from `old ReEDS input/`, the + new interpolated `ces_fraction.csv` from `../outputs/`, and the new + un-interpolated intermediate `ces_fraction_intermediate.csv` from + `../outputs/intermediate outputs/`. For every state that appears in either + old or new, draws three series on a per-state subplot: + + * blue squares -> old (June 2025 LBNL) values + * red line -> new (June 2026 LBNL) values, after piecewise interpolation + * red dots -> new (June 2026 LBNL) values, before interpolation + + Saves the resulting figure to `plots/ces_fraction_comparison.png` and + prints the output path. + """ df_old = pd.read_csv(os.path.join(OLD_DIR, "ces_fraction0.csv")) df_new = pd.read_csv(os.path.join(NEW_DIR, "ces_fraction.csv")) df_int = pd.read_csv(os.path.join(INTERMED_DIR, "ces_fraction_intermediate.csv")) @@ -100,6 +139,17 @@ def plot_ces(): def plot_hydrofrac(): + """Plot per-state hydrofrac policy comparison (old vs new) as two bar charts. + + Reads `hydrofrac_policy0.csv` (previous run) from `old ReEDS input/` and + the new `hydrofrac_policy.csv` from `../outputs/`, joins them on state, + and produces two grouped bar charts (old vs new side-by-side per state): + + * `plots/hydrofrac_RPS_All_comparison.png` for the `RPS_All` column. + * `plots/hydrofrac_CES_comparison.png` for the `CES` column. + + Prints each output path after it is written. + """ df_old = pd.read_csv(os.path.join(OLD_DIR, "hydrofrac_policy0.csv")) df_new = pd.read_csv(os.path.join(NEW_DIR, "hydrofrac_policy.csv")) From 7261b2967ff0894d45b9a1cdbe2e4596c4553a1a Mon Sep 17 00:00:00 2001 From: Yunzhi-Chen Date: Wed, 24 Jun 2026 13:53:03 -0600 Subject: [PATCH 10/16] Remove intermediate outputs and the outputs --- .gitignore | 3 + state_policies/README.md | 36 +- state_policies/data_processing.py | 1 + state_policies/outputs/ces_fraction.csv | 657 -------- state_policies/outputs/hydrofrac_policy.csv | 49 - .../ces_fraction_intermediate.csv | 657 -------- .../rps_fraction_intermediate.csv | 1348 ----------------- state_policies/outputs/rps_fraction.csv | 1348 ----------------- 8 files changed, 25 insertions(+), 4074 deletions(-) delete mode 100644 state_policies/outputs/ces_fraction.csv delete mode 100644 state_policies/outputs/hydrofrac_policy.csv delete mode 100644 state_policies/outputs/intermediate outputs/ces_fraction_intermediate.csv delete mode 100644 state_policies/outputs/intermediate outputs/rps_fraction_intermediate.csv delete mode 100644 state_policies/outputs/rps_fraction.csv diff --git a/.gitignore b/.gitignore index 6378f58..7d15b16 100644 --- a/.gitignore +++ b/.gitignore @@ -53,3 +53,6 @@ slurm*.out # plots **/plots zones/*/*.gpkg + +# state_policies generated outputs (regenerated by data_processing.py; +state_policies/outputs/ diff --git a/state_policies/README.md b/state_policies/README.md index 8214678..fc34a60 100644 --- a/state_policies/README.md +++ b/state_policies/README.md @@ -3,11 +3,11 @@ This folder produces three CSV files that ReEDS consumes as state-level renewable / clean energy policy inputs: -| Output | Description | -| --- | --- | -| `outputs/rps_fraction.csv` | Required RPS fraction of retail sales by state and year, plus voluntary RPS and Nova Scotia (NS) rows. Columns: `t, st, rps_all, rps_solar, rps_wind`. | -| `outputs/ces_fraction.csv` | Required CES fraction of retail sales by state and year. Columns: `*t, st, Value`. | -| `outputs/hydrofrac_policy.csv` | State-level fraction of existing hydro / non-RE generation that already counts toward each state's RPS_All and CES targets. Columns: `*st, RPS_All, CES`. | +| Output | Description | +| -------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `outputs/rps_fraction.csv` | Required RPS fraction of retail sales by state and year, plus voluntary RPS and Nova Scotia (NS) rows. Columns:`t, st, rps_all, rps_solar, rps_wind`. | +| `outputs/ces_fraction.csv` | Required CES fraction of retail sales by state and year. Columns:`*t, st, Value`. | +| `outputs/hydrofrac_policy.csv` | State-level fraction of existing hydro / non-RE generation that already counts toward each state's RPS_All and CES targets. Columns:`*st, RPS_All, CES`. | Both `rps_fraction.csv` and `ces_fraction.csv` are produced as piecewise-linear ramps between policy "change points", so the year-over-year trajectory is smooth @@ -31,13 +31,13 @@ The script reads everything from `inputs/` and writes the three CSVs above to All located in `inputs/`: -| Input | Description | -| --- | --- | -| `RPS & CES Targets and Demand_June 2026.xlsx` | Annual LBNL state RPS / CES dataset, provided by Galen Barbose. Source: https://emp.lbl.gov/projects/renewables-portfolio. The script reads four sheets from this file: `Statewide Sales`, `RPS & CES Demand (GWh)`, and `Non-RE Accounting`. Note: starting with the June 2026 release LBNL no longer publishes the `Non-RE Accounting` sheet in the public workbook. Galen sends it separately to NREL, and we paste it back into this file as the `Non-RE Accounting` tab so the workbook is self-contained. | -| `nrel-green-power-data-v2024.xlsx` | NLR Green Power Data (formerly NREL), used for the voluntary RPS row. Source: https://www.nlr.gov/analysis/voluntary-power-procurement. | -| `RPS_nonUS.csv` | Non-US RPS data provided by the ReEDS team (currently only Nova Scotia, `NS`). | -| `hierarchy.csv` | Region hierarchy from a recent ReEDS Reference run, used to map BAs to states for the hydrofrac calculation. | -| `gen_ann.csv` | Annual generation by tech and BA from a recent ReEDS Reference run, used to compute hydro / non-RE shares for the hydrofrac calculation. | +| Input | Description | +| ----------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | +| `RPS & CES Targets and Demand_June 2026.xlsx` | Annual LBNL state RPS / CES dataset, provided by Galen Barbose. Source: https://emp.lbl.gov/projects/renewables-portfolio. The script reads four sheets from this file:`Statewide Sales`, `RPS & CES Demand (GWh)`, and `Non-RE Accounting`. Note: starting with the June 2026 release LBNL no longer publishes the `Non-RE Accounting` sheet in the public workbook. Galen sends it separately to NREL, and we paste it back into this file as the `Non-RE Accounting` tab so the workbook is self-contained. | +| `nrel-green-power-data-v2024.xlsx` | NLR Green Power Data (formerly NREL), used for the voluntary RPS row. Source: https://www.nlr.gov/analysis/voluntary-power-procurement. | +| `RPS_nonUS.csv` | Non-US RPS data provided by the ReEDS team (currently only Nova Scotia,`NS`). | +| `hierarchy.csv` | Region hierarchy from a recent ReEDS Reference run, used to map BAs to states for the hydrofrac calculation. | +| `gen_ann.csv` | Annual generation by tech and BA from a recent ReEDS Reference run, used to compute hydro / non-RE shares for the hydrofrac calculation. | # Annual update procedure @@ -61,8 +61,7 @@ a new release: newer file exists, download it into `inputs/`, update `filename_voluntary` in `data_processing.py`, and bump `Voluntarysheet_nrows` to match the number of historical years in the new file. Also update the hardcoded `<= 2024` year - cap in the voluntary projection block (search for `rps_series[rps_series['t'] - <= 2024]`) to the new last historical year. The NLR file is updated on a + cap in the voluntary projection block (search for `rps_series[rps_series['t'] <= 2024]`) to the new last historical year. The NLR file is updated on a different schedule from the LBNL workbook, so this step is independent and may be skipped if no newer NLR release is available. 4. (Optional, but recommended for PR review) Stage the previous run's outputs @@ -81,15 +80,22 @@ a new release: cd "old and new data comparison" python generate_comparison_plots.py ``` + This writes six PNGs to `old and new data comparison/plots/`: `rps_all_comparison.png`, `rps_solar_comparison.png`, `rps_wind_comparison.png`, `ces_fraction_comparison.png`, `hydrofrac_RPS_All_comparison.png`, and `hydrofrac_CES_comparison.png`. Attach these to the PR so reviewers can see what changed. + # Output files -Located in `outputs/`. These are the files that get copied into ReEDS: +The `outputs/` folder is **generated by `data_processing.py` and is not tracked +in git** (see `.gitignore`). The canonical copies of the three files below live +in the ReEDS repository after the annual update PR is merged; the diagnostic +intermediates are only needed locally to regenerate the comparison plots. + +Files that get copied into ReEDS (`inputs/state_policy`): * `rps_fraction.csv` * `ces_fraction.csv` diff --git a/state_policies/data_processing.py b/state_policies/data_processing.py index cb30cf5..ff2129d 100644 --- a/state_policies/data_processing.py +++ b/state_policies/data_processing.py @@ -418,6 +418,7 @@ def piecewise_interpolate(series, base_year, tolerance): if __name__ == "__main__": os.makedirs("outputs", exist_ok=True) + os.makedirs(os.path.join("outputs", "intermediate outputs"), exist_ok=True) # --- Run Processing Functions --- diff --git a/state_policies/outputs/ces_fraction.csv b/state_policies/outputs/ces_fraction.csv deleted file mode 100644 index 64bc2c7..0000000 --- a/state_policies/outputs/ces_fraction.csv +++ /dev/null @@ -1,657 +0,0 @@ -*t,st,Value -2010,CA,0.168775 -2011,CA,0.197283 -2012,CA,0.197325 -2013,CA,0.197242 -2014,CA,0.208537 -2015,CA,0.220868 -2016,CA,0.245039 -2017,CA,0.263927 -2018,CA,0.283753 -2019,CA,0.302047 -2020,CA,0.319335 -2021,CA,0.346564 -2022,CA,0.373687 -2023,CA,0.399432 -2024,CA,0.424969 -2025,CA,0.453957 -2026,CA,0.478586 -2027,CA,0.503216 -2028,CA,0.527845 -2029,CA,0.552474 -2030,CA,0.605264 -2031,CA,0.658055 -2032,CA,0.710846 -2033,CA,0.763636 -2034,CA,0.816426 -2035,CA,0.869217 -2036,CA,0.878870 -2037,CA,0.888523 -2038,CA,0.898176 -2039,CA,0.907829 -2040,CA,0.917482 -2041,CA,0.927135 -2042,CA,0.936788 -2043,CA,0.946441 -2044,CA,0.956094 -2045,CA,0.965747 -2046,CA,0.965747 -2047,CA,0.965747 -2048,CA,0.965748 -2049,CA,0.965748 -2050,CA,0.965748 -2010,CO,0.024734 -2011,CO,0.061340 -2012,CO,0.062494 -2013,CO,0.062821 -2014,CO,0.062680 -2015,CO,0.107166 -2016,CO,0.106583 -2017,CO,0.106267 -2018,CO,0.106865 -2019,CO,0.104952 -2020,CO,0.194092 -2021,CO,0.194082 -2022,CO,0.195018 -2023,CO,0.193968 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-2015,MA,0.135126 -2016,MA,0.148182 -2017,MA,0.157381 -2018,MA,0.192103 -2019,MA,0.207117 -2020,MA,0.236987 -2021,MA,0.388316 -2022,MA,0.427725 -2023,MA,0.524902 -2024,MA,0.543778 -2025,MA,0.559867 -2026,MA,0.577544 -2027,MA,0.595221 -2028,MA,0.621574 -2029,MA,0.630574 -2030,MA,0.648251 -2031,MA,0.665928 -2032,MA,0.683670 -2033,MA,0.701411 -2034,MA,0.719153 -2035,MA,0.730980 -2036,MA,0.747243 -2037,MA,0.763506 -2038,MA,0.777446 -2039,MA,0.791386 -2040,MA,0.805326 -2041,MA,0.819265 -2042,MA,0.833205 -2043,MA,0.847145 -2044,MA,0.861085 -2045,MA,0.878826 -2046,MA,0.896568 -2047,MA,0.909874 -2048,MA,0.926137 -2049,MA,0.942400 -2050,MA,0.958663 -2010,ME,0.313089 -2011,ME,0.351043 -2012,ME,0.355693 -2013,ME,0.371749 -2014,ME,0.386209 -2015,ME,0.390292 -2016,ME,0.400178 -2017,ME,0.413332 -2018,ME,0.405135 -2019,ME,0.405681 -2020,ME,0.437152 -2021,ME,0.459897 -2022,ME,0.488762 -2023,ME,0.506243 -2024,ME,0.542407 -2025,ME,0.577972 -2026,ME,0.614343 -2027,ME,0.649630 -2028,ME,0.685459 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-2042,NE,0.271648 -2043,NE,0.361282 -2044,NE,0.450916 -2045,NE,0.540551 -2046,NE,0.630185 -2047,NE,0.719819 -2048,NE,0.809453 -2049,NE,0.899088 -2050,NE,0.988722 -2010,NM,0.039784 -2011,NM,0.066439 -2012,NM,0.067493 -2013,NM,0.068091 -2014,NM,0.067665 -2015,NM,0.112824 -2016,NM,0.115832 -2017,NM,0.117605 -2018,NM,0.120762 -2019,NM,0.123480 -2020,NM,0.164316 -2021,NM,0.164083 -2022,NM,0.163154 -2023,NM,0.165151 -2024,NM,0.164412 -2025,NM,0.359422 -2026,NM,0.377393 -2027,NM,0.395364 -2028,NM,0.413335 -2029,NM,0.431306 -2030,NM,0.449277 -2031,NM,0.471644 -2032,NM,0.494011 -2033,NM,0.516378 -2034,NM,0.538745 -2035,NM,0.561113 -2036,NM,0.583480 -2037,NM,0.605847 -2038,NM,0.628214 -2039,NM,0.650581 -2040,NM,0.672948 -2041,NM,0.702771 -2042,NM,0.732593 -2043,NM,0.762416 -2044,NM,0.792238 -2045,NM,0.822061 -2046,NM,0.837360 -2047,NM,0.852659 -2048,NM,0.867957 -2049,NM,0.883256 -2050,NM,0.898555 -2010,NV,0.073446 -2011,NV,0.090402 -2012,NV,0.089341 -2013,NV,0.108493 -2014,NV,0.108197 -2015,NV,0.129519 -2016,NV,0.131122 -2017,NV,0.131766 -2018,NV,0.132744 -2019,NV,0.130925 -2020,NV,0.167791 -2021,NV,0.181552 -2022,NV,0.228374 -2023,NV,0.228440 -2024,NV,0.271056 -2025,NV,0.302360 -2026,NV,0.332300 -2027,NV,0.377169 -2028,NV,0.392181 -2029,NV,0.422121 -2030,NV,0.452061 -2031,NV,0.475889 -2032,NV,0.499717 -2033,NV,0.523545 -2034,NV,0.547374 -2035,NV,0.571202 -2036,NV,0.595030 -2037,NV,0.618858 -2038,NV,0.642686 -2039,NV,0.666514 -2040,NV,0.690342 -2041,NV,0.714171 -2042,NV,0.737999 -2043,NV,0.761827 -2044,NV,0.785655 -2045,NV,0.809483 -2046,NV,0.833311 -2047,NV,0.857140 -2048,NV,0.880968 -2049,NV,0.904796 -2050,NV,0.928624 -2010,NY,0.237285 -2011,NY,0.248635 -2012,NY,0.261505 -2013,NY,0.262447 -2014,NY,0.273079 -2015,NY,0.280684 -2016,NY,0.283017 -2017,NY,0.292182 -2018,NY,0.291052 -2019,NY,0.307862 -2020,NY,0.341626 -2021,NY,0.355642 -2022,NY,0.362222 -2023,NY,0.404444 -2024,NY,0.446667 -2025,NY,0.488889 -2026,NY,0.531111 -2027,NY,0.573333 -2028,NY,0.615556 -2029,NY,0.657778 -2030,NY,0.700000 -2031,NY,0.720000 -2032,NY,0.751111 -2033,NY,0.782222 -2034,NY,0.813333 -2035,NY,0.844445 -2036,NY,0.875556 -2037,NY,0.906667 -2038,NY,0.937778 -2039,NY,0.968889 -2040,NY,1 -2041,NY,1 -2042,NY,1 -2043,NY,1 -2044,NY,1 -2045,NY,1 -2046,NY,1 -2047,NY,1 -2048,NY,1 -2049,NY,1 -2050,NY,1 -2010,OR,0 -2011,OR,0.034395 -2012,OR,0.034437 -2013,OR,0.034380 -2014,OR,0.034356 -2015,OR,0.103117 -2016,OR,0.101922 -2017,OR,0.099957 -2018,OR,0.098935 -2019,OR,0.097774 -2020,OR,0.135196 -2021,OR,0.133309 -2022,OR,0.131334 -2023,OR,0.129124 -2024,OR,0.126633 -2025,OR,0.171030 -2026,OR,0.238253 -2027,OR,0.305477 -2028,OR,0.372700 -2029,OR,0.439924 -2030,OR,0.507147 -2031,OR,0.519834 -2032,OR,0.532521 -2033,OR,0.545207 -2034,OR,0.557894 -2035,OR,0.570584 -2036,OR,0.583268 -2037,OR,0.595955 -2038,OR,0.608641 -2039,OR,0.621328 -2040,OR,0.634015 -2041,OR,0.634017 -2042,OR,0.634019 -2043,OR,0.634021 -2044,OR,0.634022 -2045,OR,0.634024 -2046,OR,0.634025 -2047,OR,0.634026 -2048,OR,0.634028 -2049,OR,0.634029 -2050,OR,0.634030 -2010,VA,0 -2011,VA,0 -2012,VA,0 -2013,VA,0 -2014,VA,0 -2015,VA,0 -2016,VA,0 -2017,VA,0 -2018,VA,0 -2019,VA,0 -2020,VA,0 -2021,VA,0.275161 -2022,VA,0.273110 -2023,VA,0.289299 -2024,VA,0.298586 -2025,VA,0.308818 -2026,VA,0.324484 -2027,VA,0.340151 -2028,VA,0.355817 -2029,VA,0.371483 -2030,VA,0.387150 -2031,VA,0.402816 -2032,VA,0.422373 -2033,VA,0.440631 -2034,VA,0.459539 -2035,VA,0.478446 -2036,VA,0.497354 -2037,VA,0.518433 -2038,VA,0.539512 -2039,VA,0.560591 -2040,VA,0.581670 -2041,VA,0.603666 -2042,VA,0.625662 -2043,VA,0.647658 -2044,VA,0.669654 -2045,VA,0.697004 -2046,VA,0.700722 -2047,VA,0.704446 -2048,VA,0.708177 -2049,VA,0.711913 -2050,VA,0.715653 -2010,WA,0 -2011,WA,0 -2012,WA,0.024046 -2013,WA,0.023797 -2014,WA,0.024033 -2015,WA,0.024399 -2016,WA,0.074048 -2017,WA,0.071624 -2018,WA,0.074546 -2019,WA,0.074237 -2020,WA,0.128489 -2021,WA,0.126837 -2022,WA,0.125714 -2023,WA,0.131950 -2024,WA,0.131881 -2025,WA,0.129339 -2026,WA,0.302786 -2027,WA,0.476233 -2028,WA,0.649679 -2029,WA,0.823126 -2030,WA,0.996573 -2031,WA,0.996671 -2032,WA,0.996770 -2033,WA,0.996868 -2034,WA,0.996966 -2035,WA,0.997065 -2036,WA,0.997163 -2037,WA,0.997261 -2038,WA,0.997359 -2039,WA,0.997458 -2040,WA,0.997556 -2041,WA,0.997654 -2042,WA,0.997753 -2043,WA,0.997851 -2044,WA,0.997949 -2045,WA,0.998047 -2046,WA,0.998146 -2047,WA,0.998244 -2048,WA,0.998342 -2049,WA,0.998453 -2050,WA,0.998539 diff --git a/state_policies/outputs/hydrofrac_policy.csv b/state_policies/outputs/hydrofrac_policy.csv deleted file mode 100644 index 3a93fa1..0000000 --- a/state_policies/outputs/hydrofrac_policy.csv +++ /dev/null @@ -1,49 +0,0 @@ -st,RPS_All,CES -AL,0,0 -AR,0,0 -AZ,0,0 -CA,0.123025,1 -CO,0.280634,1 -CT,1,1 -DE,0,0 -FL,0,0 -GA,0,0 -HI,0,0 -IA,0,0 -ID,0,0 -IL,1,1 -IN,0,0 -KS,0,0 -KY,0,0 -LA,0,0 -MA,1,1 -MD,0.588593,0.588593 -ME,0.159280,0.159280 -MI,0.905071,1 -MN,1,1 -MO,0.783530,0.783530 -MT,0.011195,0.011195 -NC,0.256901,0.256901 -ND,0,0 -NE,0,0 -NH,0.218554,0.218554 -NJ,0,0 -NM,0,0 -NV,1,1 -NY,1,1 -OH,0,0 -OK,0,0 -OR,0.064014,0.064014 -PA,0.254119,0.254119 -RI,1,1 -SC,0,0 -SD,0,0 -TN,0,0 -TX,0,0 -UT,0,0 -VA,1,1 -VT,0.986424,0.986424 -WA,0.018447,0.018447 -WI,0.005657,0.005657 -WV,0,0 -WY,0,0 diff --git a/state_policies/outputs/intermediate outputs/ces_fraction_intermediate.csv b/state_policies/outputs/intermediate outputs/ces_fraction_intermediate.csv deleted file mode 100644 index 4407a9d..0000000 --- a/state_policies/outputs/intermediate outputs/ces_fraction_intermediate.csv +++ /dev/null @@ -1,657 +0,0 @@ -*t,st,Value -2010,CA,0.168775 -2011,CA,0.197283 -2012,CA,0.197325 -2013,CA,0.197242 -2014,CA,0.208537 -2015,CA,0.220868 -2016,CA,0.245039 -2017,CA,0.263927 -2018,CA,0.283753 -2019,CA,0.302047 -2020,CA,0.319335 -2021,CA,0.346564 -2022,CA,0.373687 -2023,CA,0.399432 -2024,CA,0.424969 -2025,CA,0.453957 -2026,CA,0.475200 -2027,CA,0.502257 -2028,CA,0.527366 -2029,CA,0.552474 -2030,CA,0.579513 -2031,CA,0.579507 -2032,CA,0.579500 -2033,CA,0.579493 -2034,CA,0.579485 -2035,CA,0.869217 -2036,CA,0.869208 -2037,CA,0.869200 -2038,CA,0.869196 -2039,CA,0.869189 -2040,CA,0.917472 -2041,CA,0.917468 -2042,CA,0.917465 -2043,CA,0.917462 -2044,CA,0.917461 -2045,CA,0.965747 -2046,CA,0.965746 -2047,CA,0.965746 -2048,CA,0.965746 -2049,CA,0.965747 -2050,CA,0.965748 -2010,CO,0.024734 -2011,CO,0.061340 -2012,CO,0.062494 -2013,CO,0.062821 -2014,CO,0.062680 -2015,CO,0.107166 -2016,CO,0.106583 -2017,CO,0.106267 -2018,CO,0.106865 -2019,CO,0.104952 -2020,CO,0.194092 -2021,CO,0.194082 -2022,CO,0.195018 -2023,CO,0.193968 -2024,CO,0.196129 -2025,CO,0.195995 -2026,CO,0.197119 -2027,CO,0.197265 -2028,CO,0.197907 -2029,CO,0.198554 -2030,CO,0.639064 -2031,CO,0.646710 -2032,CO,0.654687 -2033,CO,0.662580 -2034,CO,0.672980 -2035,CO,0.682074 -2036,CO,0.690935 -2037,CO,0.699052 -2038,CO,0.703712 -2039,CO,0.710197 -2040,CO,0.716309 -2041,CO,0.722253 -2042,CO,0.727803 -2043,CO,0.732892 -2044,CO,0.737592 -2045,CO,0.742106 -2046,CO,0.746381 -2047,CO,0.750305 -2048,CO,0.753905 -2049,CO,0.757181 -2050,CO,0.879042 -2010,CT,0.100000 -2011,CT,0.110000 -2012,CT,0.120000 -2013,CT,0.129997 -2014,CT,0.140000 -2015,CT,0.155000 -2016,CT,0.170000 -2017,CT,0.185000 -2018,CT,0.210000 -2019,CT,0.235000 -2020,CT,0.250000 -2021,CT,0.265000 -2022,CT,0.280000 -2023,CT,0.300000 -2024,CT,0.320000 -2025,CT,0.340000 -2026,CT,0.290000 -2027,CT,0.300000 -2028,CT,0.310000 -2029,CT,0.320000 -2030,CT,0.330000 -2031,CT,0.330000 -2032,CT,0.330000 -2033,CT,0.330000 -2034,CT,0.330000 -2035,CT,0.330000 -2036,CT,0.330000 -2037,CT,0.330000 -2038,CT,0.330000 -2039,CT,0.330000 -2040,CT,1.000000 -2041,CT,1.000000 -2042,CT,1.000000 -2043,CT,1.000000 -2044,CT,1.000000 -2045,CT,1.000000 -2046,CT,1.000000 -2047,CT,1.000000 -2048,CT,1.000000 -2049,CT,1.000000 -2050,CT,1.000000 -2010,IL,0.023655 -2011,IL,0.032425 -2012,IL,0.037657 -2013,IL,0.046905 -2014,IL,0.053525 -2015,IL,0.056286 -2016,IL,0.047162 -2017,IL,0.056818 -2018,IL,0.062034 -2019,IL,0.104102 -2020,IL,0.151658 -2021,IL,0.168592 -2022,IL,0.175132 -2023,IL,0.193398 -2024,IL,0.208374 -2025,IL,0.219324 -2026,IL,0.217979 -2027,IL,0.244965 -2028,IL,0.274377 -2029,IL,0.308296 -2030,IL,0.335906 -2031,IL,0.364395 -2032,IL,0.362171 -2033,IL,0.359266 -2034,IL,0.354151 -2035,IL,0.351497 -2036,IL,0.349415 -2037,IL,0.349413 -2038,IL,0.351357 -2039,IL,0.351838 -2040,IL,0.353014 -2041,IL,0.441197 -2042,IL,0.443483 -2043,IL,0.445042 -2044,IL,0.447063 -2045,IL,0.448749 -2046,IL,0.449447 -2047,IL,0.449623 -2048,IL,0.449991 -2049,IL,0.451196 -2050,IL,0.903511 -2010,MA,0.104203 -2011,MA,0.112431 -2012,MA,0.122783 -2013,MA,0.113095 -2014,MA,0.123928 -2015,MA,0.135126 -2016,MA,0.148182 -2017,MA,0.157381 -2018,MA,0.192103 -2019,MA,0.207117 -2020,MA,0.236987 -2021,MA,0.388316 -2022,MA,0.427725 -2023,MA,0.524902 -2024,MA,0.543778 -2025,MA,0.559867 -2026,MA,0.577220 -2027,MA,0.594962 -2028,MA,0.621574 -2029,MA,0.630445 -2030,MA,0.639316 -2031,MA,0.665928 -2032,MA,0.683670 -2033,MA,0.701411 -2034,MA,0.719153 -2035,MA,0.728023 -2036,MA,0.745765 -2037,MA,0.763506 -2038,MA,0.772377 -2039,MA,0.790119 -2040,MA,0.798989 -2041,MA,0.816731 -2042,MA,0.825602 -2043,MA,0.843343 -2044,MA,0.861085 -2045,MA,0.878826 -2046,MA,0.896568 -2047,MA,0.905439 -2048,MA,0.923180 -2049,MA,0.940922 -2050,MA,0.958663 -2010,ME,0.313089 -2011,ME,0.351043 -2012,ME,0.355693 -2013,ME,0.371749 -2014,ME,0.386209 -2015,ME,0.390292 -2016,ME,0.400178 -2017,ME,0.413332 -2018,ME,0.405135 -2019,ME,0.405681 -2020,ME,0.437152 -2021,ME,0.459897 -2022,ME,0.488762 -2023,ME,0.506243 -2024,ME,0.542407 -2025,ME,0.577972 -2026,ME,0.614343 -2027,ME,0.649276 -2028,ME,0.685459 -2029,ME,0.721710 -2030,ME,0.766998 -2031,ME,0.786589 -2032,ME,0.806396 -2033,ME,0.826382 -2034,ME,0.846509 -2035,ME,0.866711 -2036,ME,0.886903 -2037,ME,0.907012 -2038,ME,0.927029 -2039,ME,0.947043 -2040,ME,0.967002 -2041,ME,0.967607 -2042,ME,0.967819 -2043,ME,0.968175 -2044,ME,0.968487 -2045,ME,0.968778 -2046,ME,0.969072 -2047,ME,0.969297 -2048,ME,0.969472 -2049,ME,0.969577 -2050,ME,0.969782 -2010,MI,0 -2011,MI,0 -2012,MI,0.033181 -2013,MI,0.046564 -2014,MI,0.056987 -2015,MI,0.092830 -2016,MI,0.091063 -2017,MI,0.093359 -2018,MI,0.090718 -2019,MI,0.117296 -2020,MI,0.122419 -2021,MI,0.138705 -2022,MI,0.134822 -2023,MI,0.135113 -2024,MI,0.134054 -2025,MI,0.130100 -2026,MI,0.121668 -2027,MI,0.109260 -2028,MI,0.099087 -2029,MI,0.090860 -2030,MI,0.388728 -2031,MI,0.384745 -2032,MI,0.378312 -2033,MI,0.370836 -2034,MI,0.362702 -2035,MI,0.800000 -2036,MI,0.800000 -2037,MI,0.800000 -2038,MI,0.800000 -2039,MI,0.800000 -2040,MI,1 -2041,MI,1 -2042,MI,1 -2043,MI,1.000000 -2044,MI,1 -2045,MI,1 -2046,MI,1 -2047,MI,1 -2048,MI,1 -2049,MI,1 -2050,MI,1 -2010,MN,0.107727 -2011,MN,0.107314 -2012,MN,0.147768 -2013,MN,0.147323 -2014,MN,0.146746 -2015,MN,0.147212 -2016,MN,0.206278 -2017,MN,0.205295 -2018,MN,0.205308 -2019,MN,0.204697 -2020,MN,0.243757 -2021,MN,0.243105 -2022,MN,0.243341 -2023,MN,0.199829 -2024,MN,0.199829 -2025,MN,0.249786 -2026,MN,0.249786 -2027,MN,0.249786 -2028,MN,0.249786 -2029,MN,0.249786 -2030,MN,0.720207 -2031,MN,0.720207 -2032,MN,0.720207 -2033,MN,0.720207 -2034,MN,0.720207 -2035,MN,0.899230 -2036,MN,0.899230 -2037,MN,0.899230 -2038,MN,0.899230 -2039,MN,0.899230 -2040,MN,0.999144 -2041,MN,0.999144 -2042,MN,0.999144 -2043,MN,0.999144 -2044,MN,0.999144 -2045,MN,0.999144 -2046,MN,0.999144 -2047,MN,0.999144 -2048,MN,0.999144 -2049,MN,0.999144 -2050,MN,0.999144 -2010,NC,0.000200 -2011,NC,0.000208 -2012,NC,0.017218 -2013,NC,0.016979 -2014,NC,0.016868 -2015,NC,0.034258 -2016,NC,0.034117 -2017,NC,0.035072 -2018,NC,0.059513 -2019,NC,0.059554 -2020,NC,0.061685 -2021,NC,0.058922 -2022,NC,0.056922 -2023,NC,0.059609 -2024,NC,0.057999 -2025,NC,0.056515 -2026,NC,0.055770 -2027,NC,0.055745 -2028,NC,0.055126 -2029,NC,0.054553 -2030,NC,0.053826 -2031,NC,0.053160 -2032,NC,0.052273 -2033,NC,0.050761 -2034,NC,0.049806 -2035,NC,0.048873 -2036,NC,0.047964 -2037,NC,0.047108 -2038,NC,0.046339 -2039,NC,0.045598 -2040,NC,0.044928 -2041,NC,0.044293 -2042,NC,0.043702 -2043,NC,0.043166 -2044,NC,0.042661 -2045,NC,0.042152 -2046,NC,0.041675 -2047,NC,0.041238 -2048,NC,0.040840 -2049,NC,0.040492 -2050,NC,0.806255 -2010,NE,0 -2011,NE,0 -2012,NE,0 -2013,NE,0 -2014,NE,0 -2015,NE,0 -2016,NE,0 -2017,NE,0 -2018,NE,0 -2019,NE,0 -2020,NE,0 -2021,NE,0 -2022,NE,0 -2023,NE,0 -2024,NE,0 -2025,NE,0 -2026,NE,0 -2027,NE,0 -2028,NE,0 -2029,NE,0 -2030,NE,0 -2031,NE,0 -2032,NE,0 -2033,NE,0 -2034,NE,0 -2035,NE,0 -2036,NE,0 -2037,NE,0 -2038,NE,0 -2039,NE,0 -2040,NE,0.092379 -2041,NE,0.092379 -2042,NE,0.092379 -2043,NE,0.092379 -2044,NE,0.092379 -2045,NE,0.092379 -2046,NE,0.092379 -2047,NE,0.092379 -2048,NE,0.092379 -2049,NE,0.092379 -2050,NE,0.988722 -2010,NM,0.039784 -2011,NM,0.066439 -2012,NM,0.067493 -2013,NM,0.068091 -2014,NM,0.067665 -2015,NM,0.112824 -2016,NM,0.115832 -2017,NM,0.117605 -2018,NM,0.120762 -2019,NM,0.123480 -2020,NM,0.164316 -2021,NM,0.164083 -2022,NM,0.163154 -2023,NM,0.165151 -2024,NM,0.164412 -2025,NM,0.359422 -2026,NM,0.359422 -2027,NM,0.359422 -2028,NM,0.359422 -2029,NM,0.359422 -2030,NM,0.449277 -2031,NM,0.449277 -2032,NM,0.449277 -2033,NM,0.449277 -2034,NM,0.449277 -2035,NM,0.449277 -2036,NM,0.449277 -2037,NM,0.449277 -2038,NM,0.449277 -2039,NM,0.449277 -2040,NM,0.672948 -2041,NM,0.672948 -2042,NM,0.672948 -2043,NM,0.672948 -2044,NM,0.672948 -2045,NM,0.822061 -2046,NM,0.822061 -2047,NM,0.822061 -2048,NM,0.822061 -2049,NM,0.822061 -2050,NM,0.898555 -2010,NV,0.073446 -2011,NV,0.090402 -2012,NV,0.089341 -2013,NV,0.108493 -2014,NV,0.108197 -2015,NV,0.129519 -2016,NV,0.131122 -2017,NV,0.131766 -2018,NV,0.132744 -2019,NV,0.130925 -2020,NV,0.167791 -2021,NV,0.181552 -2022,NV,0.228374 -2023,NV,0.228440 -2024,NV,0.271056 -2025,NV,0.302360 -2026,NV,0.302845 -2027,NV,0.377169 -2028,NV,0.377374 -2029,NV,0.377530 -2030,NV,0.452061 -2031,NV,0.452303 -2032,NV,0.452581 -2033,NV,0.452857 -2034,NV,0.453243 -2035,NV,0.453562 -2036,NV,0.453879 -2037,NV,0.454169 -2038,NV,0.454310 -2039,NV,0.454540 -2040,NV,0.454759 -2041,NV,0.454971 -2042,NV,0.455168 -2043,NV,0.455347 -2044,NV,0.455513 -2045,NV,0.455675 -2046,NV,0.455828 -2047,NV,0.455969 -2048,NV,0.456099 -2049,NV,0.456217 -2050,NV,0.928624 -2010,NY,0.237285 -2011,NY,0.248635 -2012,NY,0.261505 -2013,NY,0.262447 -2014,NY,0.273079 -2015,NY,0.280684 -2016,NY,0.283017 -2017,NY,0.292182 -2018,NY,0.291052 -2019,NY,0.307862 -2020,NY,0.341626 -2021,NY,0.355642 -2022,NY,0.362222 -2023,NY,0.404444 -2024,NY,0.446667 -2025,NY,0.488889 -2026,NY,0.531111 -2027,NY,0.573333 -2028,NY,0.615556 -2029,NY,0.657778 -2030,NY,0.700000 -2031,NY,0.700000 -2032,NY,0.700000 -2033,NY,0.700000 -2034,NY,0.700000 -2035,NY,0.700000 -2036,NY,0.700000 -2037,NY,0.700000 -2038,NY,0.700000 -2039,NY,0.700000 -2040,NY,1 -2041,NY,1 -2042,NY,1 -2043,NY,1 -2044,NY,1 -2045,NY,1 -2046,NY,1 -2047,NY,1 -2048,NY,1 -2049,NY,1 -2050,NY,1 -2010,OR,0 -2011,OR,0.034395 -2012,OR,0.034437 -2013,OR,0.034380 -2014,OR,0.034356 -2015,OR,0.103117 -2016,OR,0.101922 -2017,OR,0.099957 -2018,OR,0.098935 -2019,OR,0.097774 -2020,OR,0.135196 -2021,OR,0.133309 -2022,OR,0.131334 -2023,OR,0.129124 -2024,OR,0.126633 -2025,OR,0.171030 -2026,OR,0.171036 -2027,OR,0.171030 -2028,OR,0.171034 -2029,OR,0.171037 -2030,OR,0.507147 -2031,OR,0.507151 -2032,OR,0.507155 -2033,OR,0.507159 -2034,OR,0.507164 -2035,OR,0.570584 -2036,OR,0.570588 -2037,OR,0.570591 -2038,OR,0.570593 -2039,OR,0.570596 -2040,OR,0.634015 -2041,OR,0.634017 -2042,OR,0.634019 -2043,OR,0.634021 -2044,OR,0.634022 -2045,OR,0.634024 -2046,OR,0.634025 -2047,OR,0.634026 -2048,OR,0.634028 -2049,OR,0.634029 -2050,OR,0.634030 -2010,VA,0 -2011,VA,0 -2012,VA,0 -2013,VA,0 -2014,VA,0 -2015,VA,0 -2016,VA,0 -2017,VA,0 -2018,VA,0 -2019,VA,0 -2020,VA,0 -2021,VA,0.275161 -2022,VA,0.273110 -2023,VA,0.289299 -2024,VA,0.298586 -2025,VA,0.308818 -2026,VA,0.323214 -2027,VA,0.338571 -2028,VA,0.353836 -2029,VA,0.368357 -2030,VA,0.383185 -2031,VA,0.402816 -2032,VA,0.422373 -2033,VA,0.437410 -2034,VA,0.452486 -2035,VA,0.472445 -2036,VA,0.497354 -2037,VA,0.515213 -2038,VA,0.537101 -2039,VA,0.559251 -2040,VA,0.581670 -2041,VA,0.603376 -2042,VA,0.625286 -2043,VA,0.647387 -2044,VA,0.669654 -2045,VA,0.697004 -2046,VA,0.700722 -2047,VA,0.704446 -2048,VA,0.708177 -2049,VA,0.711913 -2050,VA,0.715653 -2010,WA,0 -2011,WA,0 -2012,WA,0.024046 -2013,WA,0.023797 -2014,WA,0.024033 -2015,WA,0.024399 -2016,WA,0.074048 -2017,WA,0.071624 -2018,WA,0.074546 -2019,WA,0.074237 -2020,WA,0.128489 -2021,WA,0.126837 -2022,WA,0.125714 -2023,WA,0.131950 -2024,WA,0.131881 -2025,WA,0.129339 -2026,WA,0.126811 -2027,WA,0.132954 -2028,WA,0.130731 -2029,WA,0.127893 -2030,WA,0.996573 -2031,WA,0.996115 -2032,WA,0.995579 -2033,WA,0.995408 -2034,WA,0.994808 -2035,WA,0.995126 -2036,WA,0.995456 -2037,WA,0.995711 -2038,WA,0.997115 -2039,WA,0.996796 -2040,WA,0.996570 -2041,WA,0.996934 -2042,WA,0.997300 -2043,WA,0.997605 -2044,WA,0.997794 -2045,WA,0.997896 -2046,WA,0.997939 -2047,WA,0.998092 -2048,WA,0.998279 -2049,WA,0.998453 -2050,WA,0.998539 diff --git a/state_policies/outputs/intermediate outputs/rps_fraction_intermediate.csv b/state_policies/outputs/intermediate outputs/rps_fraction_intermediate.csv deleted file mode 100644 index 15af32b..0000000 --- a/state_policies/outputs/intermediate outputs/rps_fraction_intermediate.csv +++ /dev/null @@ -1,1348 +0,0 @@ -t,st,rps_all,rps_solar,rps_wind -2010,AZ,0.014700,0,0 -2011,AZ,0.017574,0,0 -2012,AZ,0.020747,0,0 -2013,AZ,0.023508,0,0 -2014,AZ,0.026211,0,0 -2015,AZ,0.029495,0,0 -2016,AZ,0.035243,0,0 -2017,AZ,0.041007,0,0 -2018,AZ,0.046557,0,0 -2019,AZ,0.051433,0,0 -2020,AZ,0.058734,0,0 -2021,AZ,0.064620,0,0 -2022,AZ,0.070590,0,0 -2023,AZ,0.076542,0,0 -2024,AZ,0.082425,0,0 -2025,AZ,0.088313,0,0 -2026,AZ,0,0,0 -2027,AZ,0,0,0 -2028,AZ,0,0,0 -2029,AZ,0,0,0 -2030,AZ,0,0,0 -2031,AZ,0,0,0 -2032,AZ,0,0,0 -2033,AZ,0,0,0 -2034,AZ,0,0,0 -2035,AZ,0,0,0 -2036,AZ,0,0,0 -2037,AZ,0,0,0 -2038,AZ,0,0,0 -2039,AZ,0,0,0 -2040,AZ,0,0,0 -2041,AZ,0,0,0 -2042,AZ,0,0,0 -2043,AZ,0,0,0 -2044,AZ,0,0,0 -2045,AZ,0,0,0 -2046,AZ,0,0,0 -2047,AZ,0,0,0 -2048,AZ,0,0,0 -2049,AZ,0,0,0 -2050,AZ,0,0,0 -2010,CA,0.168775,0,0 -2011,CA,0.197283,0,0 -2012,CA,0.197325,0,0 -2013,CA,0.197242,0,0 -2014,CA,0.208537,0,0 -2015,CA,0.220868,0,0 -2016,CA,0.245039,0,0 -2017,CA,0.263927,0,0 -2018,CA,0.283753,0,0 -2019,CA,0.302047,0,0 -2020,CA,0.319335,0,0 -2021,CA,0.346564,0,0 -2022,CA,0.373687,0,0 -2023,CA,0.399432,0,0 -2024,CA,0.424969,0,0 -2025,CA,0.453957,0,0 -2026,CA,0.475200,0,0 -2027,CA,0.502257,0,0 -2028,CA,0.527366,0,0 -2029,CA,0.552474,0,0 -2030,CA,0.579513,0,0 -2031,CA,0.579507,0,0 -2032,CA,0.579500,0,0 -2033,CA,0.579493,0,0 -2034,CA,0.579485,0,0 -2035,CA,0.579478,0,0 -2036,CA,0.579472,0,0 -2037,CA,0.579467,0,0 -2038,CA,0.579464,0,0 -2039,CA,0.579459,0,0 -2040,CA,0.579456,0,0 -2041,CA,0.579453,0,0 -2042,CA,0.579451,0,0 -2043,CA,0.579450,0,0 -2044,CA,0.579449,0,0 -2045,CA,0.579448,0,0 -2046,CA,0.579448,0,0 -2047,CA,0.579447,0,0 -2048,CA,0.579448,0,0 -2049,CA,0.579448,0,0 -2050,CA,0.579449,0,0 -2010,CO,0.024734,0,0 -2011,CO,0.061340,0,0 -2012,CO,0.062494,0,0 -2013,CO,0.062821,0,0 -2014,CO,0.062680,0,0 -2015,CO,0.107166,0,0 -2016,CO,0.106583,0,0 -2017,CO,0.106267,0,0 -2018,CO,0.106865,0,0 -2019,CO,0.104952,0,0 -2020,CO,0.194092,0,0 -2021,CO,0.194082,0,0 -2022,CO,0.195018,0,0 -2023,CO,0.193968,0,0 -2024,CO,0.196129,0,0 -2025,CO,0.195995,0,0 -2026,CO,0.197119,0,0 -2027,CO,0.197265,0,0 -2028,CO,0.197907,0,0 -2029,CO,0.198554,0,0 -2030,CO,0.199277,0,0 -2031,CO,0.200113,0,0 -2032,CO,0.200997,0,0 -2033,CO,0.201872,0,0 -2034,CO,0.203025,0,0 -2035,CO,0.204033,0,0 -2036,CO,0.205016,0,0 -2037,CO,0.205916,0,0 -2038,CO,0.206432,0,0 -2039,CO,0.207151,0,0 -2040,CO,0.207829,0,0 -2041,CO,0.208488,0,0 -2042,CO,0.209103,0,0 -2043,CO,0.209667,0,0 -2044,CO,0.210188,0,0 -2045,CO,0.210689,0,0 -2046,CO,0.211163,0,0 -2047,CO,0.211598,0,0 -2048,CO,0.211997,0,0 -2049,CO,0.212360,0,0 -2050,CO,0.212707,0,0 -2010,CT,0.100000,0,0 -2011,CT,0.110000,0,0 -2012,CT,0.120000,0,0 -2013,CT,0.129997,0,0 -2014,CT,0.140000,0,0 -2015,CT,0.155000,0,0 -2016,CT,0.170000,0,0 -2017,CT,0.185000,0,0 -2018,CT,0.210000,0,0 -2019,CT,0.235000,0,0 -2020,CT,0.250000,0,0 -2021,CT,0.265000,0,0 -2022,CT,0.280000,0,0 -2023,CT,0.300000,0,0 -2024,CT,0.320000,0,0 -2025,CT,0.340000,0,0 -2026,CT,0.290000,0,0 -2027,CT,0.300000,0,0 -2028,CT,0.310000,0,0 -2029,CT,0.320000,0,0 -2030,CT,0.330000,0,0 -2031,CT,0.330000,0,0 -2032,CT,0.330000,0,0 -2033,CT,0.330000,0,0 -2034,CT,0.330000,0,0 -2035,CT,0.330000,0,0 -2036,CT,0.330000,0,0 -2037,CT,0.330000,0,0 -2038,CT,0.330000,0,0 -2039,CT,0.330000,0,0 -2040,CT,0.330000,0,0 -2041,CT,0.330000,0,0 -2042,CT,0.330000,0,0 -2043,CT,0.330000,0,0 -2044,CT,0.330000,0,0 -2045,CT,0.330000,0,0 -2046,CT,0.330000,0,0 -2047,CT,0.330000,0,0 -2048,CT,0.330000,0,0 -2049,CT,0.330000,0,0 -2050,CT,0.330000,0,0 -2010,DE,0.023866,0.000084,0 -2011,DE,0.033086,0.000110,0 -2012,DE,0.045048,0.001192,0 -2013,DE,0.056202,0.002453,0 -2014,DE,0.064578,0.004690,0 -2015,DE,0.067331,0.006755,0 -2016,DE,0.080707,0.008813,0 -2017,DE,0.093860,0.010817,0 -2018,DE,0.099182,0.012008,0 -2019,DE,0.124275,0.015208,0 -2020,DE,0.138576,0.017433,0 -2021,DE,0.135954,0.018334,0 -2022,DE,0.150740,0.020896,0 -2023,DE,0.173230,0.024387,0 -2024,DE,0.167294,0.024800,0 -2025,DE,0.177710,0.027126,0 -2026,DE,0.187661,0.029281,0 -2027,DE,0.196600,0.032029,0 -2028,DE,0.198008,0.033681,0 -2029,DE,0.202283,0.035710,0 -2030,DE,0.207301,0.037857,0 -2031,DE,0.217036,0.042185,0 -2032,DE,0.233126,0.048548,0 -2033,DE,0.250662,0.055126,0 -2034,DE,0.268054,0.061644,0 -2035,DE,0.295003,0.069961,0 -2036,DE,0.322200,0.083445,0 -2037,DE,0.323222,0.083561,0 -2038,DE,0.325598,0.084040,0 -2039,DE,0.324328,0.083626,0 -2040,DE,0.325351,0.083765,0 -2041,DE,0.326109,0.083850,0 -2042,DE,0.327175,0.084023,0 -2043,DE,0.327890,0.084123,0 -2044,DE,0.328701,0.084257,0 -2045,DE,0.329001,0.084272,0 -2046,DE,0.329227,0.084270,0 -2047,DE,0.329996,0.084407,0 -2048,DE,0.330445,0.084475,0 -2049,DE,0.331010,0.084578,0 -2050,DE,0.330995,0.084542,0 -2010,IA,0.006509,0,0 -2011,IA,0.006479,0,0 -2012,IA,0.006471,0,0 -2013,IA,0.006326,0,0 -2014,IA,0.006267,0,0 -2015,IA,0.006274,0,0 -2016,IA,0.006108,0,0 -2017,IA,0.006046,0,0 -2018,IA,0.005776,0,0 -2019,IA,0.005795,0,0 -2020,IA,0.005841,0,0 -2021,IA,0.005592,0,0 -2022,IA,0.005457,0,0 -2023,IA,0.005437,0,0 -2024,IA,0.005385,0,0 -2025,IA,0.005051,0,0 -2026,IA,0.004941,0,0 -2027,IA,0.005019,0,0 -2028,IA,0.005008,0,0 -2029,IA,0.005000,0,0 -2030,IA,0.004985,0,0 -2031,IA,0.004968,0,0 -2032,IA,0.004934,0,0 -2033,IA,0.004894,0,0 -2034,IA,0.004829,0,0 -2035,IA,0.004759,0,0 -2036,IA,0.004686,0,0 -2037,IA,0.004614,0,0 -2038,IA,0.004557,0,0 -2039,IA,0.004495,0,0 -2040,IA,0.004447,0,0 -2041,IA,0.004402,0,0 -2042,IA,0.004363,0,0 -2043,IA,0.004329,0,0 -2044,IA,0.004303,0,0 -2045,IA,0.004276,0,0 -2046,IA,0.004247,0,0 -2047,IA,0.004222,0,0 -2048,IA,0.004199,0,0 -2049,IA,0.004180,0,0 -2050,IA,0.004161,0,0 -2010,IL,0.023655,0,0 -2011,IL,0.032425,0,0 -2012,IL,0.037657,0,0 -2013,IL,0.046905,0,0 -2014,IL,0.053525,0,0 -2015,IL,0.056286,0,0 -2016,IL,0.047162,0,0 -2017,IL,0.056818,0,0 -2018,IL,0.062034,0,0 -2019,IL,0.104102,0,0 -2020,IL,0.151658,0,0 -2021,IL,0.168592,0.014752,0.014752 -2022,IL,0.175132,0.040519,0.033152 -2023,IL,0.193398,0.058586,0.047934 -2024,IL,0.208374,0.073499,0.060136 -2025,IL,0.219324,0.088143,0.072117 -2026,IL,0.217979,0.101192,0.082794 -2027,IL,0.244965,0.116162,0.095042 -2028,IL,0.274377,0.130909,0.107107 -2029,IL,0.308296,0.145768,0.119265 -2030,IL,0.335906,0.160600,0.131400 -2031,IL,0.364395,0.175601,0.143673 -2032,IL,0.362171,0.174036,0.142393 -2033,IL,0.359266,0.172214,0.140902 -2034,IL,0.354151,0.169576,0.138744 -2035,IL,0.351497,0.166806,0.136477 -2036,IL,0.349415,0.164082,0.134249 -2037,IL,0.349413,0.161568,0.132192 -2038,IL,0.351357,0.159812,0.130755 -2039,IL,0.351838,0.157418,0.128796 -2040,IL,0.353014,0.155525,0.127247 -2041,IL,0.441197,0.153809,0.125844 -2042,IL,0.443483,0.152290,0.124601 -2043,IL,0.445042,0.150988,0.123535 -2044,IL,0.447063,0.150000,0.122727 -2045,IL,0.448749,0.149079,0.121974 -2046,IL,0.449447,0.148034,0.121118 -2047,IL,0.449623,0.147123,0.120374 -2048,IL,0.449991,0.146339,0.119732 -2049,IL,0.451196,0.145702,0.119211 -2050,IL,0.451755,0.144986,0.118625 -2010,KS,0,0,0 -2011,KS,0.070360,0,0 -2012,KS,0.072069,0,0 -2013,KS,0.074305,0,0 -2014,KS,0.072628,0,0 -2015,KS,0,0,0 -2016,KS,0,0,0 -2017,KS,0,0,0 -2018,KS,0,0,0 -2019,KS,0,0,0 -2020,KS,0,0,0 -2021,KS,0,0,0 -2022,KS,0,0,0 -2023,KS,0,0,0 -2024,KS,0,0,0 -2025,KS,0,0,0 -2026,KS,0,0,0 -2027,KS,0,0,0 -2028,KS,0,0,0 -2029,KS,0,0,0 -2030,KS,0,0,0 -2031,KS,0,0,0 -2032,KS,0,0,0 -2033,KS,0,0,0 -2034,KS,0,0,0 -2035,KS,0,0,0 -2036,KS,0,0,0 -2037,KS,0,0,0 -2038,KS,0,0,0 -2039,KS,0,0,0 -2040,KS,0,0,0 -2041,KS,0,0,0 -2042,KS,0,0,0 -2043,KS,0,0,0 -2044,KS,0,0,0 -2045,KS,0,0,0 -2046,KS,0,0,0 -2047,KS,0,0,0 -2048,KS,0,0,0 -2049,KS,0,0,0 -2050,KS,0,0,0 -2010,MA,0.074062,0.000601,0 -2011,MA,0.082392,0.001422,0 -2012,MA,0.092305,0.001483,0 -2013,MA,0.082647,0.003445,0 -2014,MA,0.093489,0.009387,0 -2015,MA,0.104613,0.022682,0 -2016,MA,0.117731,0.023777,0 -2017,MA,0.126933,0.044268,0 -2018,MA,0.135642,0.056450,0 -2019,MA,0.142897,0.060608,0 -2020,MA,0.170432,0.070032,0 -2021,MA,0.191330,0.079545,0 -2022,MA,0.209259,0.085285,0 -2023,MA,0.225957,0.082080,0 -2024,MA,0.244833,0.075521,0 -2025,MA,0.269793,0.072977,0 -2026,MA,0.297791,0.075745,0 -2027,MA,0.324404,0.082301,0 -2028,MA,0.351016,0.085698,0 -2029,MA,0.377628,0.088881,0 -2030,MA,0.386499,0.092092,0 -2031,MA,0.395370,0.095087,0 -2032,MA,0.404241,0.097584,0 -2033,MA,0.413111,0.099680,0 -2034,MA,0.421982,0.101447,0 -2035,MA,0.430853,0.103001,0 -2036,MA,0.439724,0.104531,0 -2037,MA,0.448594,0.106196,0 -2038,MA,0.457465,0.107295,0 -2039,MA,0.466336,0.105802,0 -2040,MA,0.475207,0.104483,0 -2041,MA,0.484077,0.103221,0 -2042,MA,0.492948,0.102778,0 -2043,MA,0.501819,0.102034,0 -2044,MA,0.510690,0.101382,0 -2045,MA,0.519560,0.100774,0 -2046,MA,0.528431,0.100160,0 -2047,MA,0.537302,0.099692,0 -2048,MA,0.546173,0.099325,0 -2049,MA,0.555044,0.099107,0 -2050,MA,0.563914,0.098678,0 -2010,MD,0.053811,0.000623,0 -2011,MD,0.071530,0.001001,0 -2012,MD,0.085954,0.001536,0 -2013,MD,0.102017,0.002669,0 -2014,MD,0.121734,0.003591,0 -2015,MD,0.125498,0.004880,0 -2016,MD,0.145849,0.006613,0 -2017,MD,0.150908,0.010211,0 -2018,MD,0.175173,0.013084,0 -2019,MD,0.218306,0.044517,0 -2020,MD,0.281915,0.050636,0 -2021,MD,0.314363,0.062538,0 -2022,MD,0.317791,0.047548,0 -2023,MD,0.341536,0.051949,0 -2024,MD,0.363211,0.055979,0.000202 -2025,MD,0.387128,0.059070,0.013876 -2026,MD,0.414467,0.066119,0.021809 -2027,MD,0.450014,0.076846,0.107986 -2028,MD,0.470757,0.089325,0.107986 -2029,MD,0.534993,0.101890,0.107986 -2030,MD,0.549552,0.118195,0.107986 -2031,MD,0.559954,0.119197,0.107986 -2032,MD,0.568920,0.120317,0.107986 -2033,MD,0.569014,0.121374,0.107986 -2034,MD,0.569121,0.122443,0.107986 -2035,MD,0.569227,0.123585,0.107986 -2036,MD,0.569321,0.124641,0.107986 -2037,MD,0.569406,0.125689,0.107986 -2038,MD,0.569462,0.126780,0.107986 -2039,MD,0.569541,0.127822,0.107986 -2040,MD,0.569610,0.128854,0.107986 -2041,MD,0.569674,0.129954,0.107986 -2042,MD,0.569728,0.130007,0.107986 -2043,MD,0.569775,0.130054,0.107986 -2044,MD,0.569814,0.130093,0.107986 -2045,MD,0.569852,0.130131,0.107986 -2046,MD,0.569889,0.130169,0.107986 -2047,MD,0.569919,0.130199,0.107986 -2048,MD,0.569945,0.130225,0.107986 -2049,MD,0.569966,0.130245,0.107986 -2050,MD,0.569988,0.130268,0.107986 -2010,ME,0.313089,0,0 -2011,ME,0.351043,0,0 -2012,ME,0.355693,0,0 -2013,ME,0.371749,0,0 -2014,ME,0.386209,0,0 -2015,ME,0.390292,0,0 -2016,ME,0.400178,0,0 -2017,ME,0.413332,0,0 -2018,ME,0.405135,0,0 -2019,ME,0.405681,0,0 -2020,ME,0.437152,0,0 -2021,ME,0.459897,0,0 -2022,ME,0.488762,0,0 -2023,ME,0.506243,0,0 -2024,ME,0.542407,0,0 -2025,ME,0.577972,0,0 -2026,ME,0.614343,0,0 -2027,ME,0.649276,0,0 -2028,ME,0.685459,0,0 -2029,ME,0.721710,0,0 -2030,ME,0.766998,0,0 -2031,ME,0.776418,0,0 -2032,ME,0.786055,0,0 -2033,ME,0.795871,0,0 -2034,ME,0.805828,0,0 -2035,ME,0.815860,0,0 -2036,ME,0.825881,0,0 -2037,ME,0.835820,0,0 -2038,ME,0.845666,0,0 -2039,ME,0.855510,0,0 -2040,ME,0.865299,0,0 -2041,ME,0.865903,0,0 -2042,ME,0.866115,0,0 -2043,ME,0.866471,0,0 -2044,ME,0.866784,0,0 -2045,ME,0.867075,0,0 -2046,ME,0.867369,0,0 -2047,ME,0.867593,0,0 -2048,ME,0.867769,0,0 -2049,ME,0.867873,0,0 -2050,ME,0.868078,0,0 -2010,MI,0,0,0 -2011,MI,0,0,0 -2012,MI,0.033181,0,0 -2013,MI,0.046564,0,0 -2014,MI,0.056987,0,0 -2015,MI,0.092830,0,0 -2016,MI,0.091063,0,0 -2017,MI,0.093359,0,0 -2018,MI,0.090718,0,0 -2019,MI,0.117296,0,0 -2020,MI,0.122419,0,0 -2021,MI,0.138705,0,0 -2022,MI,0.134822,0,0 -2023,MI,0.135113,0,0 -2024,MI,0.134054,0,0 -2025,MI,0.130100,0,0 -2026,MI,0.121668,0,0 -2027,MI,0.109260,0,0 -2028,MI,0.099087,0,0 -2029,MI,0.090860,0,0 -2030,MI,0.388728,0,0 -2031,MI,0.384745,0,0 -2032,MI,0.378312,0,0 -2033,MI,0.370836,0,0 -2034,MI,0.362702,0,0 -2035,MI,0.442207,0,0 -2036,MI,0.439836,0,0 -2037,MI,0.440680,0,0 -2038,MI,0.444289,0,0 -2039,MI,0.445838,0,0 -2040,MI,0.448788,0,0 -2041,MI,0.452338,0,0 -2042,MI,0.454894,0,0 -2043,MI,0.460115,0,0 -2044,MI,0.466298,0,0 -2045,MI,0.470972,0,0 -2046,MI,0.472002,0,0 -2047,MI,0.473070,0,0 -2048,MI,0.474405,0,0 -2049,MI,0.476017,0,0 -2050,MI,0.476870,0,0 -2010,MN,0.107727,0,0 -2011,MN,0.107314,0,0 -2012,MN,0.147768,0,0 -2013,MN,0.147323,0,0 -2014,MN,0.146746,0,0 -2015,MN,0.147212,0,0 -2016,MN,0.206278,0,0 -2017,MN,0.205295,0,0 -2018,MN,0.205308,0,0 -2019,MN,0.204697,0,0 -2020,MN,0.243757,0.007570,0 -2021,MN,0.243105,0.007671,0 -2022,MN,0.243341,0.007614,0 -2023,MN,0.199829,0.007635,0 -2024,MN,0.199829,0.007598,0 -2025,MN,0.249786,0.007624,0 -2026,MN,0.249786,0.007655,0 -2027,MN,0.249786,0.007633,0 -2028,MN,0.249786,0.007637,0 -2029,MN,0.249786,0.007639,0 -2030,MN,0.249786,0.007643,0 -2031,MN,0.249786,0.007648,0 -2032,MN,0.249786,0.007657,0 -2033,MN,0.249786,0.007669,0 -2034,MN,0.249786,0.007687,0 -2035,MN,0.549529,0.007707,0 -2036,MN,0.549529,0.007728,0 -2037,MN,0.549529,0.007748,0 -2038,MN,0.549529,0.007764,0 -2039,MN,0.549529,0.007782,0 -2040,MN,0.549529,0.007795,0 -2041,MN,0.549529,0.007808,0 -2042,MN,0.549529,0.007819,0 -2043,MN,0.549529,0.007829,0 -2044,MN,0.549529,0.007836,0 -2045,MN,0.549529,0.007844,0 -2046,MN,0.549529,0.007852,0 -2047,MN,0.549529,0.007859,0 -2048,MN,0.549529,0.007865,0 -2049,MN,0.549529,0.007871,0 -2050,MN,0.549529,0.007876,0 -2010,MO,0,0,0 -2011,MO,0.013641,0.000207,0 -2012,MO,0.013681,0.000207,0 -2013,MO,0.013623,0.000206,0 -2014,MO,0.033995,0.000513,0 -2015,MO,0.034028,0.000513,0 -2016,MO,0.033439,0.000502,0 -2017,MO,0.033341,0.000500,0 -2018,MO,0.066143,0.000990,0 -2019,MO,0.066056,0.000987,0 -2020,MO,0.065850,0.000985,0 -2021,MO,0.098478,0.001470,0 -2022,MO,0.098489,0.001465,0 -2023,MO,0.098299,0.001466,0 -2024,MO,0.098422,0.001468,0 -2025,MO,0.098424,0.001468,0 -2026,MO,0.098425,0.001468,0 -2027,MO,0.098425,0.001468,0 -2028,MO,0.098425,0.001468,0 -2029,MO,0.098425,0.001468,0 -2030,MO,0.098425,0.001468,0 -2031,MO,0.098426,0.001468,0 -2032,MO,0.098426,0.001468,0 -2033,MO,0.098427,0.001468,0 -2034,MO,0.098427,0.001468,0 -2035,MO,0.098428,0.001468,0 -2036,MO,0.098429,0.001468,0 -2037,MO,0.098430,0.001468,0 -2038,MO,0.098431,0.001468,0 -2039,MO,0.098431,0.001468,0 -2040,MO,0.098432,0.001468,0 -2041,MO,0.098432,0.001468,0 -2042,MO,0.098433,0.001468,0 -2043,MO,0.098433,0.001468,0 -2044,MO,0.098434,0.001468,0 -2045,MO,0.098434,0.001468,0 -2046,MO,0.098434,0.001468,0 -2047,MO,0.098435,0.001468,0 -2048,MO,0.098435,0.001468,0 -2049,MO,0.098435,0.001468,0 -2050,MO,0.098435,0.001468,0 -2010,MT,0.070227,0,0 -2011,MT,0.069924,0,0 -2012,MT,0.070247,0,0 -2013,MT,0.070717,0,0 -2014,MT,0.071029,0,0 -2015,MT,0.107325,0,0 -2016,MT,0.107516,0,0 -2017,MT,0.107721,0,0 -2018,MT,0.106371,0,0 -2019,MT,0.102046,0,0 -2020,MT,0.111256,0,0 -2021,MT,0,0,0 -2022,MT,0,0,0 -2023,MT,0,0,0 -2024,MT,0,0,0 -2025,MT,0,0,0 -2026,MT,0,0,0 -2027,MT,0,0,0 -2028,MT,0,0,0 -2029,MT,0,0,0 -2030,MT,0,0,0 -2031,MT,0,0,0 -2032,MT,0,0,0 -2033,MT,0,0,0 -2034,MT,0,0,0 -2035,MT,0,0,0 -2036,MT,0,0,0 -2037,MT,0,0,0 -2038,MT,0,0,0 -2039,MT,0,0,0 -2040,MT,0,0,0 -2041,MT,0,0,0 -2042,MT,0,0,0 -2043,MT,0,0,0 -2044,MT,0,0,0 -2045,MT,0,0,0 -2046,MT,0,0,0 -2047,MT,0,0,0 -2048,MT,0,0,0 -2049,MT,0,0,0 -2050,MT,0,0,0 -2010,NC,0.000200,0.000200,0 -2011,NC,0.000208,0.000208,0 -2012,NC,0.017218,0.000715,0 -2013,NC,0.016979,0.000690,0 -2014,NC,0.015591,0.000681,0 -2015,NC,0.032988,0.001390,0 -2016,NC,0.032852,0.001392,0 -2017,NC,0.033064,0.001430,0 -2018,NC,0.057154,0.001898,0 -2019,NC,0.055484,0.002024,0 -2020,NC,0.055586,0.002089,0 -2021,NC,0.056040,0.001919,0 -2022,NC,0.051212,0.001947,0 -2023,NC,0.052324,0.002089,0 -2024,NC,0.050940,0.001941,0 -2025,NC,0.048752,0.001945,0 -2026,NC,0.047486,0.001970,0 -2027,NC,0.047438,0.001996,0 -2028,NC,0.046916,0.001973,0 -2029,NC,0.046416,0.001973,0 -2030,NC,0.045762,0.001973,0 -2031,NC,0.045163,0.001974,0 -2032,NC,0.044362,0.001970,0 -2033,NC,0.042946,0.001966,0 -2034,NC,0.042102,0.001961,0 -2035,NC,0.041281,0.001959,0 -2036,NC,0.040478,0.001959,0 -2037,NC,0.039722,0.001960,0 -2038,NC,0.039040,0.001964,0 -2039,NC,0.038385,0.001964,0 -2040,NC,0.037792,0.001967,0 -2041,NC,0.037230,0.001968,0 -2042,NC,0.036707,0.001970,0 -2043,NC,0.036232,0.001972,0 -2044,NC,0.035786,0.001973,0 -2045,NC,0.035336,0.001972,0 -2046,NC,0.034915,0.001974,0 -2047,NC,0.034527,0.001975,0 -2048,NC,0.034174,0.001977,0 -2049,NC,0.033865,0.001979,0 -2050,NC,0.033572,0.001980,0 -2010,NE,0,0,0 -2011,NE,0,0,0 -2012,NE,0,0,0 -2013,NE,0,0,0 -2014,NE,0,0,0 -2015,NE,0,0,0 -2016,NE,0,0,0 -2017,NE,0,0,0 -2018,NE,0,0,0 -2019,NE,0,0,0 -2020,NE,0,0,0 -2021,NE,0,0,0 -2022,NE,0,0,0 -2023,NE,0,0,0 -2024,NE,0,0,0 -2025,NE,0,0,0 -2026,NE,0,0,0 -2027,NE,0,0,0 -2028,NE,0,0,0 -2029,NE,0,0,0 -2030,NE,0,0,0 -2031,NE,0,0,0 -2032,NE,0,0,0 -2033,NE,0,0,0 -2034,NE,0,0,0 -2035,NE,0,0,0 -2036,NE,0,0,0 -2037,NE,0,0,0 -2038,NE,0,0,0 -2039,NE,0,0,0 -2040,NE,0,0,0 -2041,NE,0,0,0 -2042,NE,0,0,0 -2043,NE,0,0,0 -2044,NE,0,0,0 -2045,NE,0,0,0 -2046,NE,0,0,0 -2047,NE,0,0,0 -2048,NE,0,0,0 -2049,NE,0,0,0 -2050,NE,0,0,0 -2010,NH,0.074160,0.000393,0 -2011,NH,0.094196,0.000787,0 -2012,NH,0.055158,0.001491,0 -2013,NH,0.057650,0.001988,0 -2014,NH,0.063606,0.002982,0 -2015,NH,0.070558,0.002981,0 -2016,NH,0.072548,0.002981,0 -2017,NH,0.155027,0.002981,0 -2018,NH,0.161953,0.004968,0 -2019,NH,0.166145,0.005899,0 -2020,NH,0.115000,0.007000,0 -2021,NH,0.110000,0.007000,0 -2022,NH,0.110000,0.007000,0 -2023,NH,0.115000,0.007000,0 -2024,NH,0.129000,0.007000,0 -2025,NH,0.208000,0.007000,0 -2026,NH,0.208000,0.007000,0 -2027,NH,0.208000,0.007000,0 -2028,NH,0.208000,0.007000,0 -2029,NH,0.208000,0.007000,0 -2030,NH,0.208000,0.007000,0 -2031,NH,0.208000,0.007000,0 -2032,NH,0.208000,0.007000,0 -2033,NH,0.208000,0.007000,0 -2034,NH,0.208000,0.007000,0 -2035,NH,0.208000,0.007000,0 -2036,NH,0.208000,0.007000,0 -2037,NH,0.208000,0.007000,0 -2038,NH,0.208000,0.007000,0 -2039,NH,0.208000,0.007000,0 -2040,NH,0.208000,0.007000,0 -2041,NH,0.208000,0.007000,0 -2042,NH,0.208000,0.007000,0 -2043,NH,0.208000,0.007000,0 -2044,NH,0.208000,0.007000,0 -2045,NH,0.208000,0.007000,0 -2046,NH,0.208000,0.007000,0 -2047,NH,0.208000,0.007000,0 -2048,NH,0.208000,0.007000,0 -2049,NH,0.208000,0.007000,0 -2050,NH,0.208000,0.007000,0 -2010,NJ,0.069636,0.002078,0 -2011,NJ,0.084893,0.003989,0 -2012,NJ,0.094645,0.005902,0 -2013,NJ,0.103686,0.008012,0 -2014,NJ,0.124422,0.020361,0 -2015,NJ,0.132824,0.023655,0 -2016,NJ,0.147464,0.027218,0 -2017,NJ,0.161855,0.030376,0 -2018,NJ,0.171666,0.030476,0 -2019,NJ,0.212910,0.043648,0 -2020,NJ,0.208076,0.049493,0 -2021,NJ,0.229620,0.049833,0 -2022,NJ,0.228763,0.049646,0 -2023,NJ,0.254486,0.052975,0 -2024,NJ,0.282516,0.046926,0 -2025,NJ,0.373799,0.047846,0 -2026,NJ,0.365745,0.043889,0 -2027,NJ,0.433143,0.043314,0 -2028,NJ,0.456459,0.036713,0 -2029,NJ,0.484879,0.030072,0 -2030,NJ,0.514888,0.021674,0 -2031,NJ,0.516388,0.015541,0 -2032,NJ,0.512305,0.013661,0 -2033,NJ,0.511204,0.010711,0 -2034,NJ,0.509853,0,0 -2035,NJ,0.509753,0,0 -2036,NJ,0.510722,0,0 -2037,NJ,0.511433,0,0 -2038,NJ,0.514364,0,0 -2039,NJ,0.511827,0,0 -2040,NJ,0.512677,0,0 -2041,NJ,0.513198,0,0 -2042,NJ,0.514260,0,0 -2043,NJ,0.514870,0,0 -2044,NJ,0.515689,0,0 -2045,NJ,0.515784,0,0 -2046,NJ,0.515772,0,0 -2047,NJ,0.516612,0,0 -2048,NJ,0.517026,0,0 -2049,NJ,0.517657,0,0 -2050,NJ,0.517435,0,0 -2010,NM,0.039784,0,0 -2011,NM,0.066439,0,0 -2012,NM,0.067493,0,0 -2013,NM,0.068091,0,0 -2014,NM,0.067665,0,0 -2015,NM,0.112824,0,0 -2016,NM,0.115832,0,0 -2017,NM,0.117605,0,0 -2018,NM,0.120762,0,0 -2019,NM,0.123480,0,0 -2020,NM,0.164316,0,0 -2021,NM,0.164083,0,0 -2022,NM,0.163154,0,0 -2023,NM,0.165151,0,0 -2024,NM,0.164412,0,0 -2025,NM,0.359422,0,0 -2026,NM,0.359422,0,0 -2027,NM,0.359422,0,0 -2028,NM,0.359422,0,0 -2029,NM,0.359422,0,0 -2030,NM,0.449277,0,0 -2031,NM,0.449277,0,0 -2032,NM,0.449277,0,0 -2033,NM,0.449277,0,0 -2034,NM,0.449277,0,0 -2035,NM,0.449277,0,0 -2036,NM,0.449277,0,0 -2037,NM,0.449277,0,0 -2038,NM,0.449277,0,0 -2039,NM,0.449277,0,0 -2040,NM,0.672948,0,0 -2041,NM,0.672948,0,0 -2042,NM,0.672948,0,0 -2043,NM,0.672948,0,0 -2044,NM,0.672948,0,0 -2045,NM,0.672948,0,0 -2046,NM,0.672948,0,0 -2047,NM,0.672948,0,0 -2048,NM,0.672948,0,0 -2049,NM,0.672948,0,0 -2050,NM,0.718844,0,0 -2016,NS,0.250000,0,0 -2017,NS,0.250000,0,0 -2018,NS,0.250000,0,0 -2019,NS,0.250000,0,0 -2020,NS,0.400000,0,0 -2021,NS,0.400000,0,0 -2022,NS,0.400000,0,0 -2023,NS,0.400000,0,0 -2024,NS,0.400000,0,0 -2025,NS,0.400000,0,0 -2026,NS,0.400000,0,0 -2027,NS,0.400000,0,0 -2028,NS,0.400000,0,0 -2029,NS,0.400000,0,0 -2030,NS,0.400000,0,0 -2031,NS,0.400000,0,0 -2032,NS,0.400000,0,0 -2033,NS,0.400000,0,0 -2034,NS,0.400000,0,0 -2035,NS,0.400000,0,0 -2036,NS,0.400000,0,0 -2037,NS,0.400000,0,0 -2038,NS,0.400000,0,0 -2039,NS,0.400000,0,0 -2040,NS,0.400000,0,0 -2041,NS,0.400000,0,0 -2042,NS,0.400000,0,0 -2043,NS,0.400000,0,0 -2044,NS,0.400000,0,0 -2045,NS,0.400000,0,0 -2046,NS,0.400000,0,0 -2047,NS,0.400000,0,0 -2048,NS,0.400000,0,0 -2049,NS,0.400000,0,0 -2050,NS,0.400000,0,0 -2010,NV,0.073446,0,0 -2011,NV,0.090402,0,0 -2012,NV,0.089341,0,0 -2013,NV,0.108493,0,0 -2014,NV,0.108197,0,0 -2015,NV,0.129519,0,0 -2016,NV,0.131122,0,0 -2017,NV,0.131766,0,0 -2018,NV,0.132744,0,0 -2019,NV,0.130925,0,0 -2020,NV,0.167791,0,0 -2021,NV,0.181552,0,0 -2022,NV,0.228374,0,0 -2023,NV,0.228440,0,0 -2024,NV,0.271056,0,0 -2025,NV,0.302360,0,0 -2026,NV,0.302845,0,0 -2027,NV,0.377169,0,0 -2028,NV,0.377374,0,0 -2029,NV,0.377530,0,0 -2030,NV,0.452061,0,0 -2031,NV,0.452303,0,0 -2032,NV,0.452581,0,0 -2033,NV,0.452857,0,0 -2034,NV,0.453243,0,0 -2035,NV,0.453562,0,0 -2036,NV,0.453879,0,0 -2037,NV,0.454169,0,0 -2038,NV,0.454310,0,0 -2039,NV,0.454540,0,0 -2040,NV,0.454759,0,0 -2041,NV,0.454971,0,0 -2042,NV,0.455168,0,0 -2043,NV,0.455347,0,0 -2044,NV,0.455513,0,0 -2045,NV,0.455675,0,0 -2046,NV,0.455828,0,0 -2047,NV,0.455969,0,0 -2048,NV,0.456099,0,0 -2049,NV,0.456217,0,0 -2050,NV,0.456331,0,0 -2010,NY,0.237285,0,0 -2011,NY,0.248635,0,0 -2012,NY,0.261505,0,0 -2013,NY,0.262447,0,0 -2014,NY,0.273079,0,0 -2015,NY,0.280684,0,0 -2016,NY,0.283017,0,0 -2017,NY,0.292182,0,0 -2018,NY,0.291052,0,0 -2019,NY,0.307862,0,0 -2020,NY,0.341626,0,0 -2021,NY,0.355642,0,0 -2022,NY,0.362222,0,0 -2023,NY,0.404444,0,0 -2024,NY,0.446667,0,0 -2025,NY,0.488889,0,0 -2026,NY,0.531111,0,0 -2027,NY,0.573333,0,0 -2028,NY,0.615556,0,0 -2029,NY,0.657778,0,0 -2030,NY,0.700000,0,0 -2031,NY,0.700000,0,0 -2032,NY,0.700000,0,0 -2033,NY,0.700000,0,0 -2034,NY,0.700000,0,0 -2035,NY,0.700000,0,0 -2036,NY,0.700000,0,0 -2037,NY,0.700000,0,0 -2038,NY,0.700000,0,0 -2039,NY,0.700000,0,0 -2040,NY,0.700000,0,0 -2041,NY,0.700000,0,0 -2042,NY,0.700000,0,0 -2043,NY,0.700000,0,0 -2044,NY,0.700000,0,0 -2045,NY,0.700000,0,0 -2046,NY,0.700000,0,0 -2047,NY,0.700000,0,0 -2048,NY,0.700000,0,0 -2049,NY,0.700000,0,0 -2050,NY,0.700000,0,0 -2010,OH,0.004337,0.000087,0 -2011,OH,0.008402,0.000252,0 -2012,OH,0.012752,0.000510,0 -2013,OH,0.017143,0.000771,0 -2014,OH,0.021863,0.001049,0 -2015,OH,0.021133,0.001014,0 -2016,OH,0.019521,0.000937,0 -2017,OH,0.026497,0.001136,0 -2018,OH,0.032843,0.001314,0 -2019,OH,0.043649,0.001746,0 -2020,OH,0.046852,0,0 -2021,OH,0.048371,0,0 -2022,OH,0.049291,0,0 -2023,OH,0.052189,0,0 -2024,OH,0.053078,0,0 -2025,OH,0.055501,0,0 -2026,OH,0.060881,0,0 -2027,OH,0,0,0 -2028,OH,0,0,0 -2029,OH,0,0,0 -2030,OH,0,0,0 -2031,OH,0,0,0 -2032,OH,0,0,0 -2033,OH,0,0,0 -2034,OH,0,0,0 -2035,OH,0,0,0 -2036,OH,0,0,0 -2037,OH,0,0,0 -2038,OH,0,0,0 -2039,OH,0,0,0 -2040,OH,0,0,0 -2041,OH,0,0,0 -2042,OH,0,0,0 -2043,OH,0,0,0 -2044,OH,0,0,0 -2045,OH,0,0,0 -2046,OH,0,0,0 -2047,OH,0,0,0 -2048,OH,0,0,0 -2049,OH,0,0,0 -2050,OH,0,0,0 -2010,OR,0,0,0 -2011,OR,0.034395,0,0 -2012,OR,0.034437,0,0 -2013,OR,0.034380,0,0 -2014,OR,0.034356,0,0 -2015,OR,0.103117,0.000253,0 -2016,OR,0.101922,0.000252,0 -2017,OR,0.099957,0.000239,0 -2018,OR,0.098935,0.000242,0 -2019,OR,0.097774,0.000237,0 -2020,OR,0.135196,0.000234,0 -2021,OR,0.133309,0.000221,0 -2022,OR,0.131334,0.000212,0 -2023,OR,0.129124,0.000206,0 -2024,OR,0.126633,0.000200,0 -2025,OR,0.171030,0.000194,0 -2026,OR,0.171036,0.000189,0 -2027,OR,0.171030,0.000194,0 -2028,OR,0.171034,0.000190,0 -2029,OR,0.171037,0.000187,0 -2030,OR,0.221773,0.000184,0 -2031,OR,0.221777,0.000180,0 -2032,OR,0.221781,0.000176,0 -2033,OR,0.221786,0.000172,0 -2034,OR,0.221790,0.000167,0 -2035,OR,0.285211,0.000163,0 -2036,OR,0.285214,0.000159,0 -2037,OR,0.285218,0.000156,0 -2038,OR,0.285220,0.000154,0 -2039,OR,0.285222,0.000151,0 -2040,OR,0.316933,0.000148,0 -2041,OR,0.316935,0.000146,0 -2042,OR,0.316937,0.000144,0 -2043,OR,0.316939,0.000143,0 -2044,OR,0.316941,0.000141,0 -2045,OR,0.316942,0.000140,0 -2046,OR,0.316944,0.000138,0 -2047,OR,0.316945,0.000137,0 -2048,OR,0.316946,0.000136,0 -2049,OR,0.316947,0.000135,0 -2050,OR,0.316948,0.000134,0 -2010,PA,0.003137,0.000015,0 -2011,PA,0.029214,0.000198,0 -2012,PA,0.034950,0.000325,0 -2013,PA,0.038657,0.000493,0 -2014,PA,0.043812,0.000818,0 -2015,PA,0.048911,0.001409,0 -2016,PA,0.054039,0.002456,0 -2017,PA,0.059507,0.002909,0 -2018,PA,0.060857,0.003183,0 -2019,PA,0.069849,0.003892,0 -2020,PA,0.075701,0.004474,0 -2021,PA,0.076192,0.004762,0 -2022,PA,0.077296,0.004831,0 -2023,PA,0.081809,0.005113,0 -2024,PA,0.076199,0.004762,0 -2025,PA,0.077449,0.004841,0 -2026,PA,0.076893,0.004806,0 -2027,PA,0.078502,0.004906,0 -2028,PA,0.077390,0.004837,0 -2029,PA,0.077226,0.004827,0 -2030,PA,0.077320,0.004832,0 -2031,PA,0.077545,0.004847,0 -2032,PA,0.076932,0.004808,0 -2033,PA,0.076767,0.004798,0 -2034,PA,0.076564,0.004785,0 -2035,PA,0.076549,0.004784,0 -2036,PA,0.076694,0.004793,0 -2037,PA,0.076801,0.004800,0 -2038,PA,0.077241,0.004828,0 -2039,PA,0.076860,0.004804,0 -2040,PA,0.076988,0.004812,0 -2041,PA,0.077066,0.004817,0 -2042,PA,0.077226,0.004827,0 -2043,PA,0.077317,0.004832,0 -2044,PA,0.077440,0.004840,0 -2045,PA,0.077454,0.004841,0 -2046,PA,0.077453,0.004841,0 -2047,PA,0.077579,0.004849,0 -2048,PA,0.077641,0.004853,0 -2049,PA,0.077736,0.004858,0 -2050,PA,0.077702,0.004856,0 -2010,RI,0.044691,0,0 -2011,RI,0.054617,0,0 -2012,RI,0.064537,0,0 -2013,RI,0.074440,0,0 -2014,RI,0.084368,0,0 -2015,RI,0.084374,0,0 -2016,RI,0.099245,0,0 -2017,RI,0.114161,0,0 -2018,RI,0.129036,0,0 -2019,RI,0.143667,0,0 -2020,RI,0.158527,0,0 -2021,RI,0.173380,0,0 -2022,RI,0.188250,0,0 -2023,RI,0.227839,0,0 -2024,RI,0.277370,0,0 -2025,RI,0.336806,0,0 -2026,RI,0.406148,0,0 -2027,RI,0.475491,0,0 -2028,RI,0.549786,0,0 -2029,RI,0.629035,0,0 -2030,RI,0.713236,0,0 -2031,RI,0.802391,0,0 -2032,RI,0.896498,0,0 -2033,RI,0.990606,0,0 -2034,RI,0.990606,0,0 -2035,RI,0.990606,0,0 -2036,RI,0.990606,0,0 -2037,RI,0.990606,0,0 -2038,RI,0.990606,0,0 -2039,RI,0.990606,0,0 -2040,RI,0.990606,0,0 -2041,RI,0.990606,0,0 -2042,RI,0.990606,0,0 -2043,RI,0.990606,0,0 -2044,RI,0.990606,0,0 -2045,RI,0.990606,0,0 -2046,RI,0.990606,0,0 -2047,RI,0.990606,0,0 -2048,RI,0.990606,0,0 -2049,RI,0.990606,0,0 -2050,RI,0.990606,0,0 -2010,TX,0.024811,0,0 -2011,TX,0.030781,0,0 -2012,TX,0.033272,0,0 -2013,TX,0.040227,0,0 -2014,TX,0.039967,0,0 -2015,TX,0.044410,0,0 -2016,TX,0.045259,0,0 -2017,TX,0.044901,0,0 -2018,TX,0.042516,0,0 -2019,TX,0.042030,0,0 -2020,TX,0.042277,0,0 -2021,TX,0.041429,0,0 -2022,TX,0.037966,0,0 -2023,TX,0.036626,0,0 -2024,TX,0.035712,0,0 -2025,TX,0,0,0 -2026,TX,0,0,0 -2027,TX,0,0,0 -2028,TX,0,0,0 -2029,TX,0,0,0 -2030,TX,0,0,0 -2031,TX,0,0,0 -2032,TX,0,0,0 -2033,TX,0,0,0 -2034,TX,0,0,0 -2035,TX,0,0,0 -2036,TX,0,0,0 -2037,TX,0,0,0 -2038,TX,0,0,0 -2039,TX,0,0,0 -2040,TX,0,0,0 -2041,TX,0,0,0 -2042,TX,0,0,0 -2043,TX,0,0,0 -2044,TX,0,0,0 -2045,TX,0,0,0 -2046,TX,0,0,0 -2047,TX,0,0,0 -2048,TX,0,0,0 -2049,TX,0,0,0 -2050,TX,0,0,0 -2010,VA,0,0,0 -2011,VA,0,0,0 -2012,VA,0,0,0 -2013,VA,0,0,0 -2014,VA,0,0,0 -2015,VA,0,0,0 -2016,VA,0,0,0 -2017,VA,0,0,0 -2018,VA,0,0,0 -2019,VA,0,0,0 -2020,VA,0,0,0 -2021,VA,0.066505,0,0 -2022,VA,0.075528,0,0 -2023,VA,0.091796,0,0 -2024,VA,0.109275,0,0 -2025,VA,0.128182,0,0 -2026,VA,0.144892,0,0 -2027,VA,0.161362,0,0 -2028,VA,0.179376,0,0 -2029,VA,0.196642,0,0 -2030,VA,0.213975,0,0 -2031,VA,0.235969,0,0 -2032,VA,0.258394,0,0 -2033,VA,0.276547,0,0 -2034,VA,0.295064,0,0 -2035,VA,0.318508,0,0 -2036,VA,0.346748,0,0 -2037,VA,0.367731,0,0 -2038,VA,0.392452,0,0 -2039,VA,0.417299,0,0 -2040,VA,0.442162,0,0 -2041,VA,0.466202,0,0 -2042,VA,0.490305,0,0 -2043,VA,0.514424,0,0 -2044,VA,0.538588,0,0 -2045,VA,0.567798,0,0 -2046,VA,0.573213,0,0 -2047,VA,0.578489,0,0 -2048,VA,0.583627,0,0 -2049,VA,0.588598,0,0 -2050,VA,0.593502,0,0 -2010,VT,0,0,0 -2011,VT,0,0,0 -2012,VT,0,0,0 -2013,VT,0,0,0 -2014,VT,0,0,0 -2015,VT,0,0,0 -2016,VT,0,0,0 -2017,VT,0.550000,0,0 -2018,VT,0.550000,0,0 -2019,VT,0.550000,0,0 -2020,VT,0.590000,0,0 -2021,VT,0.590000,0,0 -2022,VT,0.590000,0,0 -2023,VT,0.630000,0,0 -2024,VT,0.630000,0,0 -2025,VT,0.630000,0,0 -2026,VT,0.670000,0,0 -2027,VT,0.710000,0,0 -2028,VT,0.750000,0,0 -2029,VT,0.790000,0,0 -2030,VT,0.989836,0,0 -2031,VT,0.992228,0,0 -2032,VT,0.994619,0,0 -2033,VT,0.997011,0,0 -2034,VT,0.999402,0,0 -2035,VT,1,0,0 -2036,VT,1,0,0 -2037,VT,1,0,0 -2038,VT,1,0,0 -2039,VT,1,0,0 -2040,VT,1,0,0 -2041,VT,1,0,0 -2042,VT,1,0,0 -2043,VT,1,0,0 -2044,VT,1,0,0 -2045,VT,1,0,0 -2046,VT,1,0,0 -2047,VT,1,0,0 -2048,VT,1,0,0 -2049,VT,1,0,0 -2050,VT,1,0,0 -2010,WA,0,0,0 -2011,WA,0,0,0 -2012,WA,0.024046,0,0 -2013,WA,0.023797,0,0 -2014,WA,0.024033,0,0 -2015,WA,0.024399,0,0 -2016,WA,0.074048,0,0 -2017,WA,0.071624,0,0 -2018,WA,0.074546,0,0 -2019,WA,0.074237,0,0 -2020,WA,0.128489,0,0 -2021,WA,0.126837,0,0 -2022,WA,0.125714,0,0 -2023,WA,0.131950,0,0 -2024,WA,0.131881,0,0 -2025,WA,0.129339,0,0 -2026,WA,0.126811,0,0 -2027,WA,0.132954,0,0 -2028,WA,0.130731,0,0 -2029,WA,0.127893,0,0 -2030,WA,0.127804,0,0 -2031,WA,0.127346,0,0 -2032,WA,0.126810,0,0 -2033,WA,0.126639,0,0 -2034,WA,0.126039,0,0 -2035,WA,0.126357,0,0 -2036,WA,0.126687,0,0 -2037,WA,0.126942,0,0 -2038,WA,0.128346,0,0 -2039,WA,0.128027,0,0 -2040,WA,0.127801,0,0 -2041,WA,0.128165,0,0 -2042,WA,0.128531,0,0 -2043,WA,0.128836,0,0 -2044,WA,0.129025,0,0 -2045,WA,0.129127,0,0 -2046,WA,0.129170,0,0 -2047,WA,0.129323,0,0 -2048,WA,0.129510,0,0 -2049,WA,0.129684,0,0 -2050,WA,0.129770,0,0 -2010,WI,0.060422,0,0 -2011,WI,0.059803,0,0 -2012,WI,0.059183,0,0 -2013,WI,0.059917,0,0 -2014,WI,0.059359,0,0 -2015,WI,0.100506,0,0 -2016,WI,0.098952,0,0 -2017,WI,0.100334,0,0 -2018,WI,0.097490,0,0 -2019,WI,0.101115,0,0 -2020,WI,0.103388,0,0 -2021,WI,0.099648,0,0 -2022,WI,0.098279,0,0 -2023,WI,0.100512,0,0 -2024,WI,0.101461,0,0 -2025,WI,0.098191,0,0 -2026,WI,0.096212,0,0 -2027,WI,0.099213,0,0 -2028,WI,0.100087,0,0 -2029,WI,0.100217,0,0 -2030,WI,0.099525,0,0 -2031,WI,0.099414,0,0 -2032,WI,0.098999,0,0 -2033,WI,0.098620,0,0 -2034,WI,0.097921,0,0 -2035,WI,0.097407,0,0 -2036,WI,0.097075,0,0 -2037,WI,0.096982,0,0 -2038,WI,0.097255,0,0 -2039,WI,0.097339,0,0 -2040,WI,0.097631,0,0 -2041,WI,0.097847,0,0 -2042,WI,0.098089,0,0 -2043,WI,0.098299,0,0 -2044,WI,0.098586,0,0 -2045,WI,0.098722,0,0 -2046,WI,0.098714,0,0 -2047,WI,0.098748,0,0 -2048,WI,0.098842,0,0 -2049,WI,0.098999,0,0 -2050,WI,0.099064,0,0 -2010,voluntary,0.009722,0,0 -2011,voluntary,0.011713,0,0 -2012,voluntary,0.014350,0,0 -2013,voluntary,0.016916,0,0 -2014,voluntary,0.018124,0,0 -2015,voluntary,0.020821,0,0 -2016,voluntary,0.023127,0,0 -2017,voluntary,0.027167,0,0 -2018,voluntary,0.032475,0,0 -2019,voluntary,0.038784,0,0 -2020,voluntary,0.048610,0,0 -2021,voluntary,0.057369,0,0 -2022,voluntary,0.063270,0,0 -2023,voluntary,0.070446,0,0 -2024,voluntary,0.079580,0,0 -2025,voluntary,0.080788,0,0 -2026,voluntary,0.081997,0,0 -2027,voluntary,0.083205,0,0 -2028,voluntary,0.084414,0,0 -2029,voluntary,0.085622,0,0 -2030,voluntary,0.086831,0,0 -2031,voluntary,0.088039,0,0 -2032,voluntary,0.089248,0,0 -2033,voluntary,0.090457,0,0 -2034,voluntary,0.091665,0,0 -2035,voluntary,0.092874,0,0 -2036,voluntary,0.094082,0,0 -2037,voluntary,0.095291,0,0 -2038,voluntary,0.096499,0,0 -2039,voluntary,0.097708,0,0 -2040,voluntary,0.098916,0,0 -2041,voluntary,0.100125,0,0 -2042,voluntary,0.101334,0,0 -2043,voluntary,0.102542,0,0 -2044,voluntary,0.103751,0,0 -2045,voluntary,0.104959,0,0 -2046,voluntary,0.106168,0,0 -2047,voluntary,0.107376,0,0 -2048,voluntary,0.108585,0,0 -2049,voluntary,0.109793,0,0 -2050,voluntary,0.111002,0,0 diff --git a/state_policies/outputs/rps_fraction.csv b/state_policies/outputs/rps_fraction.csv deleted file mode 100644 index 4a40ef7..0000000 --- a/state_policies/outputs/rps_fraction.csv +++ /dev/null @@ -1,1348 +0,0 @@ -t,st,rps_all,rps_solar,rps_wind -2010,AZ,0.014700,0,0 -2011,AZ,0.017574,0,0 -2012,AZ,0.020747,0,0 -2013,AZ,0.023508,0,0 -2014,AZ,0.026211,0,0 -2015,AZ,0.029495,0,0 -2016,AZ,0.035243,0,0 -2017,AZ,0.041007,0,0 -2018,AZ,0.046557,0,0 -2019,AZ,0.051433,0,0 -2020,AZ,0.058734,0,0 -2021,AZ,0.064620,0,0 -2022,AZ,0.070590,0,0 -2023,AZ,0.076542,0,0 -2024,AZ,0.082425,0,0 -2025,AZ,0.088313,0,0 -2026,AZ,0,0,0 -2027,AZ,0,0,0 -2028,AZ,0,0,0 -2029,AZ,0,0,0 -2030,AZ,0,0,0 -2031,AZ,0,0,0 -2032,AZ,0,0,0 -2033,AZ,0,0,0 -2034,AZ,0,0,0 -2035,AZ,0,0,0 -2036,AZ,0,0,0 -2037,AZ,0,0,0 -2038,AZ,0,0,0 -2039,AZ,0,0,0 -2040,AZ,0,0,0 -2041,AZ,0,0,0 -2042,AZ,0,0,0 -2043,AZ,0,0,0 -2044,AZ,0,0,0 -2045,AZ,0,0,0 -2046,AZ,0,0,0 -2047,AZ,0,0,0 -2048,AZ,0,0,0 -2049,AZ,0,0,0 -2050,AZ,0,0,0 -2010,CA,0.168775,0,0 -2011,CA,0.197283,0,0 -2012,CA,0.197325,0,0 -2013,CA,0.197242,0,0 -2014,CA,0.208537,0,0 -2015,CA,0.220868,0,0 -2016,CA,0.245039,0,0 -2017,CA,0.263927,0,0 -2018,CA,0.283753,0,0 -2019,CA,0.302047,0,0 -2020,CA,0.319335,0,0 -2021,CA,0.346564,0,0 -2022,CA,0.373687,0,0 -2023,CA,0.399432,0,0 -2024,CA,0.424969,0,0 -2025,CA,0.453957,0,0 -2026,CA,0.478427,0,0 -2027,CA,0.502896,0,0 -2028,CA,0.527366,0,0 -2029,CA,0.553439,0,0 -2030,CA,0.579513,0,0 -2031,CA,0.579510,0,0 -2032,CA,0.579507,0,0 -2033,CA,0.579503,0,0 -2034,CA,0.579500,0,0 -2035,CA,0.579497,0,0 -2036,CA,0.579494,0,0 -2037,CA,0.579491,0,0 -2038,CA,0.579487,0,0 -2039,CA,0.579484,0,0 -2040,CA,0.579481,0,0 -2041,CA,0.579478,0,0 -2042,CA,0.579475,0,0 -2043,CA,0.579471,0,0 -2044,CA,0.579468,0,0 -2045,CA,0.579465,0,0 -2046,CA,0.579462,0,0 -2047,CA,0.579459,0,0 -2048,CA,0.579455,0,0 -2049,CA,0.579452,0,0 -2050,CA,0.579449,0,0 -2010,CO,0.024734,0,0 -2011,CO,0.061340,0,0 -2012,CO,0.062494,0,0 -2013,CO,0.062821,0,0 -2014,CO,0.062680,0,0 -2015,CO,0.107166,0,0 -2016,CO,0.106583,0,0 -2017,CO,0.106267,0,0 -2018,CO,0.106865,0,0 -2019,CO,0.104952,0,0 -2020,CO,0.194092,0,0 -2021,CO,0.194082,0,0 -2022,CO,0.195018,0,0 -2023,CO,0.193968,0,0 -2024,CO,0.196129,0,0 -2025,CO,0.195995,0,0 -2026,CO,0.197119,0,0 -2027,CO,0.197332,0,0 -2028,CO,0.198000,0,0 -2029,CO,0.198669,0,0 -2030,CO,0.199337,0,0 -2031,CO,0.200113,0,0 -2032,CO,0.200997,0,0 -2033,CO,0.201872,0,0 -2034,CO,0.203025,0,0 -2035,CO,0.204033,0,0 -2036,CO,0.205016,0,0 -2037,CO,0.205916,0,0 -2038,CO,0.206432,0,0 -2039,CO,0.207151,0,0 -2040,CO,0.207829,0,0 -2041,CO,0.208488,0,0 -2042,CO,0.209103,0,0 -2043,CO,0.209667,0,0 -2044,CO,0.210188,0,0 -2045,CO,0.210689,0,0 -2046,CO,0.211163,0,0 -2047,CO,0.211598,0,0 -2048,CO,0.211997,0,0 -2049,CO,0.212360,0,0 -2050,CO,0.212707,0,0 -2010,CT,0.100000,0,0 -2011,CT,0.110000,0,0 -2012,CT,0.120000,0,0 -2013,CT,0.129997,0,0 -2014,CT,0.140000,0,0 -2015,CT,0.155000,0,0 -2016,CT,0.170000,0,0 -2017,CT,0.185000,0,0 -2018,CT,0.210000,0,0 -2019,CT,0.235000,0,0 -2020,CT,0.250000,0,0 -2021,CT,0.265000,0,0 -2022,CT,0.280000,0,0 -2023,CT,0.300000,0,0 -2024,CT,0.320000,0,0 -2025,CT,0.340000,0,0 -2026,CT,0.290000,0,0 -2027,CT,0.300000,0,0 -2028,CT,0.310000,0,0 -2029,CT,0.320000,0,0 -2030,CT,0.330000,0,0 -2031,CT,0.330000,0,0 -2032,CT,0.330000,0,0 -2033,CT,0.330000,0,0 -2034,CT,0.330000,0,0 -2035,CT,0.330000,0,0 -2036,CT,0.330000,0,0 -2037,CT,0.330000,0,0 -2038,CT,0.330000,0,0 -2039,CT,0.330000,0,0 -2040,CT,0.330000,0,0 -2041,CT,0.330000,0,0 -2042,CT,0.330000,0,0 -2043,CT,0.330000,0,0 -2044,CT,0.330000,0,0 -2045,CT,0.330000,0,0 -2046,CT,0.330000,0,0 -2047,CT,0.330000,0,0 -2048,CT,0.330000,0,0 -2049,CT,0.330000,0,0 -2050,CT,0.330000,0,0 -2010,DE,0.023866,0.000084,0 -2011,DE,0.033086,0.000110,0 -2012,DE,0.045048,0.001192,0 -2013,DE,0.056202,0.002453,0 -2014,DE,0.064578,0.004690,0 -2015,DE,0.067331,0.006755,0 -2016,DE,0.080707,0.008813,0 -2017,DE,0.093860,0.010817,0 -2018,DE,0.099182,0.012008,0 -2019,DE,0.124275,0.015208,0 -2020,DE,0.138576,0.017433,0 -2021,DE,0.135954,0.018334,0 -2022,DE,0.150740,0.020896,0 -2023,DE,0.173230,0.024387,0 -2024,DE,0.167294,0.024800,0 -2025,DE,0.177710,0.027126,0 -2026,DE,0.187661,0.029281,0 -2027,DE,0.196600,0.032029,0 -2028,DE,0.201460,0.033681,0 -2029,DE,0.209376,0.035711,0 -2030,DE,0.217293,0.037857,0 -2031,DE,0.225209,0.043203,0 -2032,DE,0.233126,0.048548,0 -2033,DE,0.253752,0.055126,0 -2034,DE,0.274377,0.061644,0 -2035,DE,0.295003,0.072544,0 -2036,DE,0.322200,0.083445,0 -2037,DE,0.323222,0.083561,0 -2038,DE,0.325598,0.084040,0 -2039,DE,0.324328,0.083680,0 -2040,DE,0.325351,0.083765,0 -2041,DE,0.326109,0.083850,0 -2042,DE,0.327175,0.084023,0 -2043,DE,0.327890,0.084123,0 -2044,DE,0.328701,0.084257,0 -2045,DE,0.329001,0.084272,0 -2046,DE,0.329227,0.084270,0 -2047,DE,0.329996,0.084407,0 -2048,DE,0.330445,0.084475,0 -2049,DE,0.331010,0.084578,0 -2050,DE,0.330995,0.084542,0 -2010,IA,0.006509,0,0 -2011,IA,0.006479,0,0 -2012,IA,0.006471,0,0 -2013,IA,0.006326,0,0 -2014,IA,0.006267,0,0 -2015,IA,0.006274,0,0 -2016,IA,0.006108,0,0 -2017,IA,0.006046,0,0 -2018,IA,0.005776,0,0 -2019,IA,0.005795,0,0 -2020,IA,0.005841,0,0 -2021,IA,0.005592,0,0 -2022,IA,0.005457,0,0 -2023,IA,0.005437,0,0 -2024,IA,0.005385,0,0 -2025,IA,0.005051,0,0 -2026,IA,0.005015,0,0 -2027,IA,0.005019,0,0 -2028,IA,0.005008,0,0 -2029,IA,0.005000,0,0 -2030,IA,0.004985,0,0 -2031,IA,0.004968,0,0 -2032,IA,0.004934,0,0 -2033,IA,0.004894,0,0 -2034,IA,0.004829,0,0 -2035,IA,0.004759,0,0 -2036,IA,0.004686,0,0 -2037,IA,0.004624,0,0 -2038,IA,0.004588,0,0 -2039,IA,0.004553,0,0 -2040,IA,0.004517,0,0 -2041,IA,0.004481,0,0 -2042,IA,0.004446,0,0 -2043,IA,0.004410,0,0 -2044,IA,0.004375,0,0 -2045,IA,0.004339,0,0 -2046,IA,0.004303,0,0 -2047,IA,0.004268,0,0 -2048,IA,0.004232,0,0 -2049,IA,0.004197,0,0 -2050,IA,0.004161,0,0 -2010,IL,0.023655,0,0 -2011,IL,0.032425,0,0 -2012,IL,0.037657,0,0 -2013,IL,0.046905,0,0 -2014,IL,0.053525,0,0 -2015,IL,0.056286,0,0 -2016,IL,0.047162,0,0 -2017,IL,0.056818,0,0 -2018,IL,0.062034,0,0 -2019,IL,0.104102,0,0 -2020,IL,0.151658,0,0 -2021,IL,0.168592,0.014752,0.014752 -2022,IL,0.175132,0.040519,0.033152 -2023,IL,0.193398,0.058586,0.047934 -2024,IL,0.208374,0.073499,0.060136 -2025,IL,0.219324,0.088143,0.072117 -2026,IL,0.237675,0.101192,0.082794 -2027,IL,0.256026,0.116162,0.095042 -2028,IL,0.274377,0.130909,0.107107 -2029,IL,0.308296,0.145768,0.119265 -2030,IL,0.335906,0.160600,0.131400 -2031,IL,0.364395,0.175601,0.143673 -2032,IL,0.362171,0.174036,0.142393 -2033,IL,0.364622,0.172214,0.140902 -2034,IL,0.374194,0.169576,0.138744 -2035,IL,0.383766,0.166806,0.136477 -2036,IL,0.393337,0.164082,0.134249 -2037,IL,0.402909,0.162027,0.132192 -2038,IL,0.412481,0.159973,0.130915 -2039,IL,0.422053,0.157918,0.129638 -2040,IL,0.431625,0.155864,0.128360 -2041,IL,0.441197,0.153809,0.127083 -2042,IL,0.443483,0.152829,0.125806 -2043,IL,0.445042,0.151848,0.124529 -2044,IL,0.447063,0.150868,0.123251 -2045,IL,0.448749,0.149888,0.121974 -2046,IL,0.449447,0.148907,0.121304 -2047,IL,0.449623,0.147927,0.120634 -2048,IL,0.449991,0.146947,0.119965 -2049,IL,0.451196,0.145966,0.119295 -2050,IL,0.451755,0.144986,0.118625 -2010,KS,0,0,0 -2011,KS,0.070360,0,0 -2012,KS,0.072069,0,0 -2013,KS,0.074305,0,0 -2014,KS,0.072628,0,0 -2015,KS,0,0,0 -2016,KS,0,0,0 -2017,KS,0,0,0 -2018,KS,0,0,0 -2019,KS,0,0,0 -2020,KS,0,0,0 -2021,KS,0,0,0 -2022,KS,0,0,0 -2023,KS,0,0,0 -2024,KS,0,0,0 -2025,KS,0,0,0 -2026,KS,0,0,0 -2027,KS,0,0,0 -2028,KS,0,0,0 -2029,KS,0,0,0 -2030,KS,0,0,0 -2031,KS,0,0,0 -2032,KS,0,0,0 -2033,KS,0,0,0 -2034,KS,0,0,0 -2035,KS,0,0,0 -2036,KS,0,0,0 -2037,KS,0,0,0 -2038,KS,0,0,0 -2039,KS,0,0,0 -2040,KS,0,0,0 -2041,KS,0,0,0 -2042,KS,0,0,0 -2043,KS,0,0,0 -2044,KS,0,0,0 -2045,KS,0,0,0 -2046,KS,0,0,0 -2047,KS,0,0,0 -2048,KS,0,0,0 -2049,KS,0,0,0 -2050,KS,0,0,0 -2010,MA,0.074062,0.000601,0 -2011,MA,0.082392,0.001422,0 -2012,MA,0.092305,0.001483,0 -2013,MA,0.082647,0.003445,0 -2014,MA,0.093489,0.009387,0 -2015,MA,0.104613,0.022682,0 -2016,MA,0.117731,0.023777,0 -2017,MA,0.126933,0.044268,0 -2018,MA,0.135642,0.056450,0 -2019,MA,0.142897,0.060608,0 -2020,MA,0.170432,0.070032,0 -2021,MA,0.191330,0.079545,0 -2022,MA,0.209259,0.085285,0 -2023,MA,0.225957,0.082080,0 -2024,MA,0.244833,0.075521,0 -2025,MA,0.269793,0.072977,0 -2026,MA,0.297791,0.077217,0 -2027,MA,0.324404,0.082301,0 -2028,MA,0.351016,0.085698,0 -2029,MA,0.377628,0.088881,0 -2030,MA,0.386499,0.092092,0 -2031,MA,0.395370,0.095087,0 -2032,MA,0.404241,0.097584,0 -2033,MA,0.413111,0.099680,0 -2034,MA,0.421982,0.101447,0 -2035,MA,0.430853,0.103001,0 -2036,MA,0.439724,0.104531,0 -2037,MA,0.448594,0.106196,0 -2038,MA,0.457465,0.107295,0 -2039,MA,0.466336,0.105802,0 -2040,MA,0.475207,0.104483,0 -2041,MA,0.484077,0.103221,0 -2042,MA,0.492948,0.102778,0 -2043,MA,0.501819,0.102034,0 -2044,MA,0.510690,0.101382,0 -2045,MA,0.519560,0.100774,0 -2046,MA,0.528431,0.100160,0 -2047,MA,0.537302,0.099692,0 -2048,MA,0.546173,0.099325,0 -2049,MA,0.555044,0.099107,0 -2050,MA,0.563914,0.098678,0 -2010,MD,0.053811,0.000623,0 -2011,MD,0.071530,0.001001,0 -2012,MD,0.085954,0.001536,0 -2013,MD,0.102017,0.002669,0 -2014,MD,0.121734,0.003591,0 -2015,MD,0.125498,0.004880,0 -2016,MD,0.145849,0.006613,0 -2017,MD,0.150908,0.010211,0 -2018,MD,0.175173,0.013084,0 -2019,MD,0.218306,0.044517,0 -2020,MD,0.281915,0.050636,0 -2021,MD,0.314363,0.062538,0 -2022,MD,0.317791,0.047548,0 -2023,MD,0.341536,0.051949,0 -2024,MD,0.363211,0.055979,0.000202 -2025,MD,0.387128,0.059070,0.013876 -2026,MD,0.418571,0.067958,0.060931 -2027,MD,0.450014,0.076846,0.107986 -2028,MD,0.492504,0.089325,0.107986 -2029,MD,0.534993,0.101890,0.107986 -2030,MD,0.549552,0.118195,0.107986 -2031,MD,0.559954,0.119261,0.107986 -2032,MD,0.568920,0.120327,0.107986 -2033,MD,0.569014,0.121393,0.107986 -2034,MD,0.569121,0.122459,0.107986 -2035,MD,0.569227,0.123585,0.107986 -2036,MD,0.569321,0.124641,0.107986 -2037,MD,0.569406,0.125689,0.107986 -2038,MD,0.569462,0.126780,0.107986 -2039,MD,0.569541,0.127822,0.107986 -2040,MD,0.569610,0.128854,0.107986 -2041,MD,0.569674,0.129954,0.107986 -2042,MD,0.569728,0.130007,0.107986 -2043,MD,0.569775,0.130054,0.107986 -2044,MD,0.569814,0.130093,0.107986 -2045,MD,0.569852,0.130131,0.107986 -2046,MD,0.569889,0.130169,0.107986 -2047,MD,0.569919,0.130199,0.107986 -2048,MD,0.569945,0.130225,0.107986 -2049,MD,0.569966,0.130245,0.107986 -2050,MD,0.569988,0.130268,0.107986 -2010,ME,0.313089,0,0 -2011,ME,0.351043,0,0 -2012,ME,0.355693,0,0 -2013,ME,0.371749,0,0 -2014,ME,0.386209,0,0 -2015,ME,0.390292,0,0 -2016,ME,0.400178,0,0 -2017,ME,0.413332,0,0 -2018,ME,0.405135,0,0 -2019,ME,0.405681,0,0 -2020,ME,0.437152,0,0 -2021,ME,0.459897,0,0 -2022,ME,0.488762,0,0 -2023,ME,0.506243,0,0 -2024,ME,0.542407,0,0 -2025,ME,0.577972,0,0 -2026,ME,0.614343,0,0 -2027,ME,0.649276,0,0 -2028,ME,0.685493,0,0 -2029,ME,0.721710,0,0 -2030,ME,0.766998,0,0 -2031,ME,0.776418,0,0 -2032,ME,0.786318,0,0 -2033,ME,0.796219,0,0 -2034,ME,0.806119,0,0 -2035,ME,0.816019,0,0 -2036,ME,0.825920,0,0 -2037,ME,0.835820,0,0 -2038,ME,0.845666,0,0 -2039,ME,0.855510,0,0 -2040,ME,0.865299,0,0 -2041,ME,0.865903,0,0 -2042,ME,0.866115,0,0 -2043,ME,0.866471,0,0 -2044,ME,0.866784,0,0 -2045,ME,0.867075,0,0 -2046,ME,0.867369,0,0 -2047,ME,0.867593,0,0 -2048,ME,0.867769,0,0 -2049,ME,0.867873,0,0 -2050,ME,0.868078,0,0 -2010,MI,0,0,0 -2011,MI,0,0,0 -2012,MI,0.033181,0,0 -2013,MI,0.046564,0,0 -2014,MI,0.056987,0,0 -2015,MI,0.092830,0,0 -2016,MI,0.091063,0,0 -2017,MI,0.093359,0,0 -2018,MI,0.090718,0,0 -2019,MI,0.117296,0,0 -2020,MI,0.122419,0,0 -2021,MI,0.138705,0,0 -2022,MI,0.134822,0,0 -2023,MI,0.135113,0,0 -2024,MI,0.134054,0,0 -2025,MI,0.130100,0,0 -2026,MI,0.181826,0,0 -2027,MI,0.233551,0,0 -2028,MI,0.285277,0,0 -2029,MI,0.337002,0,0 -2030,MI,0.388728,0,0 -2031,MI,0.399424,0,0 -2032,MI,0.410120,0,0 -2033,MI,0.420815,0,0 -2034,MI,0.431511,0,0 -2035,MI,0.442207,0,0 -2036,MI,0.444518,0,0 -2037,MI,0.446829,0,0 -2038,MI,0.449140,0,0 -2039,MI,0.451450,0,0 -2040,MI,0.453761,0,0 -2041,MI,0.456072,0,0 -2042,MI,0.458383,0,0 -2043,MI,0.460694,0,0 -2044,MI,0.466298,0,0 -2045,MI,0.470972,0,0 -2046,MI,0.472002,0,0 -2047,MI,0.473070,0,0 -2048,MI,0.474405,0,0 -2049,MI,0.476017,0,0 -2050,MI,0.476870,0,0 -2010,MN,0.107727,0,0 -2011,MN,0.107314,0,0 -2012,MN,0.147768,0,0 -2013,MN,0.147323,0,0 -2014,MN,0.146746,0,0 -2015,MN,0.147212,0,0 -2016,MN,0.206278,0,0 -2017,MN,0.205295,0,0 -2018,MN,0.205308,0,0 -2019,MN,0.204697,0,0 -2020,MN,0.243757,0.007570,0 -2021,MN,0.243105,0.007671,0 -2022,MN,0.243341,0.007614,0 -2023,MN,0.199829,0.007635,0 -2024,MN,0.199829,0.007598,0 -2025,MN,0.249786,0.007624,0 -2026,MN,0.279760,0.007655,0 -2027,MN,0.309735,0.007644,0 -2028,MN,0.339709,0.007654,0 -2029,MN,0.369683,0.007664,0 -2030,MN,0.399657,0.007674,0 -2031,MN,0.429632,0.007684,0 -2032,MN,0.459606,0.007695,0 -2033,MN,0.489580,0.007705,0 -2034,MN,0.519555,0.007715,0 -2035,MN,0.549529,0.007725,0 -2036,MN,0.549529,0.007735,0 -2037,MN,0.549529,0.007748,0 -2038,MN,0.549529,0.007764,0 -2039,MN,0.549529,0.007782,0 -2040,MN,0.549529,0.007795,0 -2041,MN,0.549529,0.007808,0 -2042,MN,0.549529,0.007819,0 -2043,MN,0.549529,0.007829,0 -2044,MN,0.549529,0.007836,0 -2045,MN,0.549529,0.007844,0 -2046,MN,0.549529,0.007852,0 -2047,MN,0.549529,0.007859,0 -2048,MN,0.549529,0.007865,0 -2049,MN,0.549529,0.007871,0 -2050,MN,0.549529,0.007876,0 -2010,MO,0,0,0 -2011,MO,0.013641,0.000207,0 -2012,MO,0.013681,0.000207,0 -2013,MO,0.013623,0.000206,0 -2014,MO,0.033995,0.000513,0 -2015,MO,0.034028,0.000513,0 -2016,MO,0.033439,0.000502,0 -2017,MO,0.033341,0.000500,0 -2018,MO,0.066143,0.000990,0 -2019,MO,0.066056,0.000987,0 -2020,MO,0.065850,0.000985,0 -2021,MO,0.098478,0.001470,0 -2022,MO,0.098489,0.001465,0 -2023,MO,0.098299,0.001466,0 -2024,MO,0.098422,0.001468,0 -2025,MO,0.098424,0.001468,0 -2026,MO,0.098425,0.001468,0 -2027,MO,0.098425,0.001468,0 -2028,MO,0.098425,0.001468,0 -2029,MO,0.098426,0.001468,0 -2030,MO,0.098426,0.001468,0 -2031,MO,0.098427,0.001468,0 -2032,MO,0.098427,0.001468,0 -2033,MO,0.098428,0.001468,0 -2034,MO,0.098428,0.001468,0 -2035,MO,0.098428,0.001468,0 -2036,MO,0.098429,0.001468,0 -2037,MO,0.098430,0.001468,0 -2038,MO,0.098431,0.001468,0 -2039,MO,0.098431,0.001468,0 -2040,MO,0.098432,0.001468,0 -2041,MO,0.098432,0.001468,0 -2042,MO,0.098433,0.001468,0 -2043,MO,0.098433,0.001468,0 -2044,MO,0.098434,0.001468,0 -2045,MO,0.098434,0.001468,0 -2046,MO,0.098434,0.001468,0 -2047,MO,0.098435,0.001468,0 -2048,MO,0.098435,0.001468,0 -2049,MO,0.098435,0.001468,0 -2050,MO,0.098435,0.001468,0 -2010,MT,0.070227,0,0 -2011,MT,0.069924,0,0 -2012,MT,0.070247,0,0 -2013,MT,0.070717,0,0 -2014,MT,0.071029,0,0 -2015,MT,0.107325,0,0 -2016,MT,0.107516,0,0 -2017,MT,0.107721,0,0 -2018,MT,0.106371,0,0 -2019,MT,0.102046,0,0 -2020,MT,0.111256,0,0 -2021,MT,0,0,0 -2022,MT,0,0,0 -2023,MT,0,0,0 -2024,MT,0,0,0 -2025,MT,0,0,0 -2026,MT,0,0,0 -2027,MT,0,0,0 -2028,MT,0,0,0 -2029,MT,0,0,0 -2030,MT,0,0,0 -2031,MT,0,0,0 -2032,MT,0,0,0 -2033,MT,0,0,0 -2034,MT,0,0,0 -2035,MT,0,0,0 -2036,MT,0,0,0 -2037,MT,0,0,0 -2038,MT,0,0,0 -2039,MT,0,0,0 -2040,MT,0,0,0 -2041,MT,0,0,0 -2042,MT,0,0,0 -2043,MT,0,0,0 -2044,MT,0,0,0 -2045,MT,0,0,0 -2046,MT,0,0,0 -2047,MT,0,0,0 -2048,MT,0,0,0 -2049,MT,0,0,0 -2050,MT,0,0,0 -2010,NC,0.000200,0.000200,0 -2011,NC,0.000208,0.000208,0 -2012,NC,0.017218,0.000715,0 -2013,NC,0.016979,0.000690,0 -2014,NC,0.015591,0.000681,0 -2015,NC,0.032988,0.001390,0 -2016,NC,0.032852,0.001392,0 -2017,NC,0.033064,0.001430,0 -2018,NC,0.057154,0.001898,0 -2019,NC,0.055484,0.002024,0 -2020,NC,0.055586,0.002089,0 -2021,NC,0.056040,0.001919,0 -2022,NC,0.051212,0.001947,0 -2023,NC,0.052324,0.002089,0 -2024,NC,0.050940,0.001941,0 -2025,NC,0.048752,0.001945,0 -2026,NC,0.048145,0.001970,0 -2027,NC,0.047538,0.001996,0 -2028,NC,0.046930,0.001973,0 -2029,NC,0.046416,0.001973,0 -2030,NC,0.045762,0.001973,0 -2031,NC,0.045163,0.001974,0 -2032,NC,0.044502,0.001970,0 -2033,NC,0.043894,0.001966,0 -2034,NC,0.043287,0.001961,0 -2035,NC,0.042680,0.001959,0 -2036,NC,0.042073,0.001960,0 -2037,NC,0.041466,0.001962,0 -2038,NC,0.040858,0.001964,0 -2039,NC,0.040251,0.001965,0 -2040,NC,0.039644,0.001967,0 -2041,NC,0.039037,0.001968,0 -2042,NC,0.038430,0.001970,0 -2043,NC,0.037822,0.001972,0 -2044,NC,0.037215,0.001973,0 -2045,NC,0.036608,0.001973,0 -2046,NC,0.036001,0.001974,0 -2047,NC,0.035394,0.001976,0 -2048,NC,0.034786,0.001977,0 -2049,NC,0.034179,0.001979,0 -2050,NC,0.033572,0.001980,0 -2010,NE,0,0,0 -2011,NE,0,0,0 -2012,NE,0,0,0 -2013,NE,0,0,0 -2014,NE,0,0,0 -2015,NE,0,0,0 -2016,NE,0,0,0 -2017,NE,0,0,0 -2018,NE,0,0,0 -2019,NE,0,0,0 -2020,NE,0,0,0 -2021,NE,0,0,0 -2022,NE,0,0,0 -2023,NE,0,0,0 -2024,NE,0,0,0 -2025,NE,0,0,0 -2026,NE,0,0,0 -2027,NE,0,0,0 -2028,NE,0,0,0 -2029,NE,0,0,0 -2030,NE,0,0,0 -2031,NE,0,0,0 -2032,NE,0,0,0 -2033,NE,0,0,0 -2034,NE,0,0,0 -2035,NE,0,0,0 -2036,NE,0,0,0 -2037,NE,0,0,0 -2038,NE,0,0,0 -2039,NE,0,0,0 -2040,NE,0,0,0 -2041,NE,0,0,0 -2042,NE,0,0,0 -2043,NE,0,0,0 -2044,NE,0,0,0 -2045,NE,0,0,0 -2046,NE,0,0,0 -2047,NE,0,0,0 -2048,NE,0,0,0 -2049,NE,0,0,0 -2050,NE,0,0,0 -2010,NH,0.074160,0.000393,0 -2011,NH,0.094196,0.000787,0 -2012,NH,0.055158,0.001491,0 -2013,NH,0.057650,0.001988,0 -2014,NH,0.063606,0.002982,0 -2015,NH,0.070558,0.002981,0 -2016,NH,0.072548,0.002981,0 -2017,NH,0.155027,0.002981,0 -2018,NH,0.161953,0.004968,0 -2019,NH,0.166145,0.005899,0 -2020,NH,0.115000,0.007000,0 -2021,NH,0.110000,0.007000,0 -2022,NH,0.110000,0.007000,0 -2023,NH,0.115000,0.007000,0 -2024,NH,0.129000,0.007000,0 -2025,NH,0.208000,0.007000,0 -2026,NH,0.208000,0.007000,0 -2027,NH,0.208000,0.007000,0 -2028,NH,0.208000,0.007000,0 -2029,NH,0.208000,0.007000,0 -2030,NH,0.208000,0.007000,0 -2031,NH,0.208000,0.007000,0 -2032,NH,0.208000,0.007000,0 -2033,NH,0.208000,0.007000,0 -2034,NH,0.208000,0.007000,0 -2035,NH,0.208000,0.007000,0 -2036,NH,0.208000,0.007000,0 -2037,NH,0.208000,0.007000,0 -2038,NH,0.208000,0.007000,0 -2039,NH,0.208000,0.007000,0 -2040,NH,0.208000,0.007000,0 -2041,NH,0.208000,0.007000,0 -2042,NH,0.208000,0.007000,0 -2043,NH,0.208000,0.007000,0 -2044,NH,0.208000,0.007000,0 -2045,NH,0.208000,0.007000,0 -2046,NH,0.208000,0.007000,0 -2047,NH,0.208000,0.007000,0 -2048,NH,0.208000,0.007000,0 -2049,NH,0.208000,0.007000,0 -2050,NH,0.208000,0.007000,0 -2010,NJ,0.069636,0.002078,0 -2011,NJ,0.084893,0.003989,0 -2012,NJ,0.094645,0.005902,0 -2013,NJ,0.103686,0.008012,0 -2014,NJ,0.124422,0.020361,0 -2015,NJ,0.132824,0.023655,0 -2016,NJ,0.147464,0.027218,0 -2017,NJ,0.161855,0.030376,0 -2018,NJ,0.171666,0.030476,0 -2019,NJ,0.212910,0.043648,0 -2020,NJ,0.208076,0.049493,0 -2021,NJ,0.229620,0.049833,0 -2022,NJ,0.228763,0.049646,0 -2023,NJ,0.254486,0.052975,0 -2024,NJ,0.282516,0.046926,0 -2025,NJ,0.373799,0.047846,0 -2026,NJ,0.403471,0.044135,0 -2027,NJ,0.433143,0.043314,0 -2028,NJ,0.459011,0.036713,0 -2029,NJ,0.484879,0.030072,0 -2030,NJ,0.514888,0.021674,0 -2031,NJ,0.516388,0.018020,0 -2032,NJ,0.512305,0.014365,0 -2033,NJ,0.511204,0.010711,0 -2034,NJ,0.509853,0,0 -2035,NJ,0.509753,0,0 -2036,NJ,0.510722,0,0 -2037,NJ,0.511433,0,0 -2038,NJ,0.514364,0,0 -2039,NJ,0.511827,0,0 -2040,NJ,0.512677,0,0 -2041,NJ,0.513198,0,0 -2042,NJ,0.514260,0,0 -2043,NJ,0.514870,0,0 -2044,NJ,0.515689,0,0 -2045,NJ,0.515784,0,0 -2046,NJ,0.515772,0,0 -2047,NJ,0.516612,0,0 -2048,NJ,0.517026,0,0 -2049,NJ,0.517657,0,0 -2050,NJ,0.517435,0,0 -2010,NM,0.039784,0,0 -2011,NM,0.066439,0,0 -2012,NM,0.067493,0,0 -2013,NM,0.068091,0,0 -2014,NM,0.067665,0,0 -2015,NM,0.112824,0,0 -2016,NM,0.115832,0,0 -2017,NM,0.117605,0,0 -2018,NM,0.120762,0,0 -2019,NM,0.123480,0,0 -2020,NM,0.164316,0,0 -2021,NM,0.164083,0,0 -2022,NM,0.163154,0,0 -2023,NM,0.165151,0,0 -2024,NM,0.164412,0,0 -2025,NM,0.359422,0,0 -2026,NM,0.377393,0,0 -2027,NM,0.395364,0,0 -2028,NM,0.413335,0,0 -2029,NM,0.431306,0,0 -2030,NM,0.449277,0,0 -2031,NM,0.471644,0,0 -2032,NM,0.494011,0,0 -2033,NM,0.516378,0,0 -2034,NM,0.538745,0,0 -2035,NM,0.561113,0,0 -2036,NM,0.583480,0,0 -2037,NM,0.605847,0,0 -2038,NM,0.628214,0,0 -2039,NM,0.650581,0,0 -2040,NM,0.672948,0,0 -2041,NM,0.677538,0,0 -2042,NM,0.682127,0,0 -2043,NM,0.686717,0,0 -2044,NM,0.691306,0,0 -2045,NM,0.695896,0,0 -2046,NM,0.700486,0,0 -2047,NM,0.705075,0,0 -2048,NM,0.709665,0,0 -2049,NM,0.714254,0,0 -2050,NM,0.718844,0,0 -2016,NS,0.250000,0,0 -2017,NS,0.250000,0,0 -2018,NS,0.250000,0,0 -2019,NS,0.250000,0,0 -2020,NS,0.400000,0,0 -2021,NS,0.400000,0,0 -2022,NS,0.400000,0,0 -2023,NS,0.400000,0,0 -2024,NS,0.400000,0,0 -2025,NS,0.400000,0,0 -2026,NS,0.400000,0,0 -2027,NS,0.400000,0,0 -2028,NS,0.400000,0,0 -2029,NS,0.400000,0,0 -2030,NS,0.400000,0,0 -2031,NS,0.400000,0,0 -2032,NS,0.400000,0,0 -2033,NS,0.400000,0,0 -2034,NS,0.400000,0,0 -2035,NS,0.400000,0,0 -2036,NS,0.400000,0,0 -2037,NS,0.400000,0,0 -2038,NS,0.400000,0,0 -2039,NS,0.400000,0,0 -2040,NS,0.400000,0,0 -2041,NS,0.400000,0,0 -2042,NS,0.400000,0,0 -2043,NS,0.400000,0,0 -2044,NS,0.400000,0,0 -2045,NS,0.400000,0,0 -2046,NS,0.400000,0,0 -2047,NS,0.400000,0,0 -2048,NS,0.400000,0,0 -2049,NS,0.400000,0,0 -2050,NS,0.400000,0,0 -2010,NV,0.073446,0,0 -2011,NV,0.090402,0,0 -2012,NV,0.089341,0,0 -2013,NV,0.108493,0,0 -2014,NV,0.108197,0,0 -2015,NV,0.129519,0,0 -2016,NV,0.131122,0,0 -2017,NV,0.131766,0,0 -2018,NV,0.132744,0,0 -2019,NV,0.130925,0,0 -2020,NV,0.167791,0,0 -2021,NV,0.181552,0,0 -2022,NV,0.228374,0,0 -2023,NV,0.228440,0,0 -2024,NV,0.271056,0,0 -2025,NV,0.302360,0,0 -2026,NV,0.339765,0,0 -2027,NV,0.377169,0,0 -2028,NV,0.402133,0,0 -2029,NV,0.427097,0,0 -2030,NV,0.452061,0,0 -2031,NV,0.452303,0,0 -2032,NV,0.452581,0,0 -2033,NV,0.452857,0,0 -2034,NV,0.453243,0,0 -2035,NV,0.453562,0,0 -2036,NV,0.453879,0,0 -2037,NV,0.454169,0,0 -2038,NV,0.454310,0,0 -2039,NV,0.454540,0,0 -2040,NV,0.454759,0,0 -2041,NV,0.454971,0,0 -2042,NV,0.455168,0,0 -2043,NV,0.455347,0,0 -2044,NV,0.455513,0,0 -2045,NV,0.455675,0,0 -2046,NV,0.455828,0,0 -2047,NV,0.455969,0,0 -2048,NV,0.456099,0,0 -2049,NV,0.456217,0,0 -2050,NV,0.456331,0,0 -2010,NY,0.237285,0,0 -2011,NY,0.248635,0,0 -2012,NY,0.261505,0,0 -2013,NY,0.262447,0,0 -2014,NY,0.273079,0,0 -2015,NY,0.280684,0,0 -2016,NY,0.283017,0,0 -2017,NY,0.292182,0,0 -2018,NY,0.291052,0,0 -2019,NY,0.307862,0,0 -2020,NY,0.341626,0,0 -2021,NY,0.355642,0,0 -2022,NY,0.362222,0,0 -2023,NY,0.404444,0,0 -2024,NY,0.446667,0,0 -2025,NY,0.488889,0,0 -2026,NY,0.531111,0,0 -2027,NY,0.573333,0,0 -2028,NY,0.615556,0,0 -2029,NY,0.657778,0,0 -2030,NY,0.700000,0,0 -2031,NY,0.700000,0,0 -2032,NY,0.700000,0,0 -2033,NY,0.700000,0,0 -2034,NY,0.700000,0,0 -2035,NY,0.700000,0,0 -2036,NY,0.700000,0,0 -2037,NY,0.700000,0,0 -2038,NY,0.700000,0,0 -2039,NY,0.700000,0,0 -2040,NY,0.700000,0,0 -2041,NY,0.700000,0,0 -2042,NY,0.700000,0,0 -2043,NY,0.700000,0,0 -2044,NY,0.700000,0,0 -2045,NY,0.700000,0,0 -2046,NY,0.700000,0,0 -2047,NY,0.700000,0,0 -2048,NY,0.700000,0,0 -2049,NY,0.700000,0,0 -2050,NY,0.700000,0,0 -2010,OH,0.004337,0.000087,0 -2011,OH,0.008402,0.000252,0 -2012,OH,0.012752,0.000510,0 -2013,OH,0.017143,0.000771,0 -2014,OH,0.021863,0.001049,0 -2015,OH,0.021133,0.001014,0 -2016,OH,0.019521,0.000937,0 -2017,OH,0.026497,0.001136,0 -2018,OH,0.032843,0.001314,0 -2019,OH,0.043649,0.001746,0 -2020,OH,0.046852,0,0 -2021,OH,0.048371,0,0 -2022,OH,0.049291,0,0 -2023,OH,0.052189,0,0 -2024,OH,0.053078,0,0 -2025,OH,0.055501,0,0 -2026,OH,0.060881,0,0 -2027,OH,0,0,0 -2028,OH,0,0,0 -2029,OH,0,0,0 -2030,OH,0,0,0 -2031,OH,0,0,0 -2032,OH,0,0,0 -2033,OH,0,0,0 -2034,OH,0,0,0 -2035,OH,0,0,0 -2036,OH,0,0,0 -2037,OH,0,0,0 -2038,OH,0,0,0 -2039,OH,0,0,0 -2040,OH,0,0,0 -2041,OH,0,0,0 -2042,OH,0,0,0 -2043,OH,0,0,0 -2044,OH,0,0,0 -2045,OH,0,0,0 -2046,OH,0,0,0 -2047,OH,0,0,0 -2048,OH,0,0,0 -2049,OH,0,0,0 -2050,OH,0,0,0 -2010,OR,0,0,0 -2011,OR,0.034395,0,0 -2012,OR,0.034437,0,0 -2013,OR,0.034380,0,0 -2014,OR,0.034356,0,0 -2015,OR,0.103117,0.000253,0 -2016,OR,0.101922,0.000252,0 -2017,OR,0.099957,0.000239,0 -2018,OR,0.098935,0.000242,0 -2019,OR,0.097774,0.000237,0 -2020,OR,0.135196,0.000234,0 -2021,OR,0.133309,0.000221,0 -2022,OR,0.131334,0.000212,0 -2023,OR,0.129124,0.000206,0 -2024,OR,0.126633,0.000200,0 -2025,OR,0.171030,0.000194,0 -2026,OR,0.181179,0.000192,0 -2027,OR,0.191327,0.000194,0 -2028,OR,0.201476,0.000190,0 -2029,OR,0.211624,0.000187,0 -2030,OR,0.221773,0.000184,0 -2031,OR,0.234461,0.000180,0 -2032,OR,0.247148,0.000177,0 -2033,OR,0.259836,0.000175,0 -2034,OR,0.272523,0.000172,0 -2035,OR,0.285211,0.000170,0 -2036,OR,0.287327,0.000168,0 -2037,OR,0.289443,0.000165,0 -2038,OR,0.291558,0.000163,0 -2039,OR,0.293674,0.000160,0 -2040,OR,0.316933,0.000158,0 -2041,OR,0.316935,0.000156,0 -2042,OR,0.316937,0.000153,0 -2043,OR,0.316939,0.000151,0 -2044,OR,0.316941,0.000148,0 -2045,OR,0.316942,0.000146,0 -2046,OR,0.316944,0.000144,0 -2047,OR,0.316945,0.000141,0 -2048,OR,0.316946,0.000139,0 -2049,OR,0.316947,0.000136,0 -2050,OR,0.316948,0.000134,0 -2010,PA,0.003137,0.000015,0 -2011,PA,0.029214,0.000198,0 -2012,PA,0.034950,0.000325,0 -2013,PA,0.038657,0.000493,0 -2014,PA,0.043812,0.000818,0 -2015,PA,0.048911,0.001409,0 -2016,PA,0.054039,0.002456,0 -2017,PA,0.059507,0.002909,0 -2018,PA,0.060857,0.003183,0 -2019,PA,0.069849,0.003892,0 -2020,PA,0.075701,0.004474,0 -2021,PA,0.076192,0.004762,0 -2022,PA,0.077296,0.004831,0 -2023,PA,0.081809,0.005113,0 -2024,PA,0.076199,0.004762,0 -2025,PA,0.077449,0.004841,0 -2026,PA,0.077459,0.004842,0 -2027,PA,0.078502,0.004906,0 -2028,PA,0.077479,0.004843,0 -2029,PA,0.077489,0.004843,0 -2030,PA,0.077500,0.004844,0 -2031,PA,0.077545,0.004847,0 -2032,PA,0.077520,0.004845,0 -2033,PA,0.077530,0.004846,0 -2034,PA,0.077540,0.004846,0 -2035,PA,0.077550,0.004847,0 -2036,PA,0.077560,0.004848,0 -2037,PA,0.077570,0.004848,0 -2038,PA,0.077581,0.004849,0 -2039,PA,0.077591,0.004849,0 -2040,PA,0.077601,0.004850,0 -2041,PA,0.077611,0.004851,0 -2042,PA,0.077621,0.004851,0 -2043,PA,0.077631,0.004852,0 -2044,PA,0.077641,0.004852,0 -2045,PA,0.077651,0.004853,0 -2046,PA,0.077662,0.004854,0 -2047,PA,0.077672,0.004854,0 -2048,PA,0.077682,0.004855,0 -2049,PA,0.077736,0.004858,0 -2050,PA,0.077702,0.004856,0 -2010,RI,0.044691,0,0 -2011,RI,0.054617,0,0 -2012,RI,0.064537,0,0 -2013,RI,0.074440,0,0 -2014,RI,0.084368,0,0 -2015,RI,0.084374,0,0 -2016,RI,0.099245,0,0 -2017,RI,0.114161,0,0 -2018,RI,0.129036,0,0 -2019,RI,0.143667,0,0 -2020,RI,0.158527,0,0 -2021,RI,0.173380,0,0 -2022,RI,0.188250,0,0 -2023,RI,0.227839,0,0 -2024,RI,0.277370,0,0 -2025,RI,0.336806,0,0 -2026,RI,0.406148,0,0 -2027,RI,0.475491,0,0 -2028,RI,0.549786,0,0 -2029,RI,0.629035,0,0 -2030,RI,0.713236,0,0 -2031,RI,0.802391,0,0 -2032,RI,0.896498,0,0 -2033,RI,0.990606,0,0 -2034,RI,0.990606,0,0 -2035,RI,0.990606,0,0 -2036,RI,0.990606,0,0 -2037,RI,0.990606,0,0 -2038,RI,0.990606,0,0 -2039,RI,0.990606,0,0 -2040,RI,0.990606,0,0 -2041,RI,0.990606,0,0 -2042,RI,0.990606,0,0 -2043,RI,0.990606,0,0 -2044,RI,0.990606,0,0 -2045,RI,0.990606,0,0 -2046,RI,0.990606,0,0 -2047,RI,0.990606,0,0 -2048,RI,0.990606,0,0 -2049,RI,0.990606,0,0 -2050,RI,0.990606,0,0 -2010,TX,0.024811,0,0 -2011,TX,0.030781,0,0 -2012,TX,0.033272,0,0 -2013,TX,0.040227,0,0 -2014,TX,0.039967,0,0 -2015,TX,0.044410,0,0 -2016,TX,0.045259,0,0 -2017,TX,0.044901,0,0 -2018,TX,0.042516,0,0 -2019,TX,0.042030,0,0 -2020,TX,0.042277,0,0 -2021,TX,0.041429,0,0 -2022,TX,0.037966,0,0 -2023,TX,0.036626,0,0 -2024,TX,0.035712,0,0 -2025,TX,0,0,0 -2026,TX,0,0,0 -2027,TX,0,0,0 -2028,TX,0,0,0 -2029,TX,0,0,0 -2030,TX,0,0,0 -2031,TX,0,0,0 -2032,TX,0,0,0 -2033,TX,0,0,0 -2034,TX,0,0,0 -2035,TX,0,0,0 -2036,TX,0,0,0 -2037,TX,0,0,0 -2038,TX,0,0,0 -2039,TX,0,0,0 -2040,TX,0,0,0 -2041,TX,0,0,0 -2042,TX,0,0,0 -2043,TX,0,0,0 -2044,TX,0,0,0 -2045,TX,0,0,0 -2046,TX,0,0,0 -2047,TX,0,0,0 -2048,TX,0,0,0 -2049,TX,0,0,0 -2050,TX,0,0,0 -2010,VA,0,0,0 -2011,VA,0,0,0 -2012,VA,0,0,0 -2013,VA,0,0,0 -2014,VA,0,0,0 -2015,VA,0,0,0 -2016,VA,0,0,0 -2017,VA,0,0,0 -2018,VA,0,0,0 -2019,VA,0,0,0 -2020,VA,0,0,0 -2021,VA,0.066505,0,0 -2022,VA,0.075528,0,0 -2023,VA,0.091796,0,0 -2024,VA,0.109275,0,0 -2025,VA,0.128182,0,0 -2026,VA,0.145247,0,0 -2027,VA,0.162311,0,0 -2028,VA,0.179376,0,0 -2029,VA,0.198240,0,0 -2030,VA,0.217105,0,0 -2031,VA,0.235969,0,0 -2032,VA,0.258394,0,0 -2033,VA,0.276547,0,0 -2034,VA,0.295064,0,0 -2035,VA,0.320906,0,0 -2036,VA,0.346748,0,0 -2037,VA,0.370265,0,0 -2038,VA,0.393782,0,0 -2039,VA,0.417299,0,0 -2040,VA,0.442162,0,0 -2041,VA,0.466202,0,0 -2042,VA,0.490305,0,0 -2043,VA,0.516136,0,0 -2044,VA,0.541967,0,0 -2045,VA,0.567798,0,0 -2046,VA,0.573213,0,0 -2047,VA,0.578489,0,0 -2048,VA,0.583627,0,0 -2049,VA,0.588598,0,0 -2050,VA,0.593502,0,0 -2010,VT,0,0,0 -2011,VT,0,0,0 -2012,VT,0,0,0 -2013,VT,0,0,0 -2014,VT,0,0,0 -2015,VT,0,0,0 -2016,VT,0,0,0 -2017,VT,0.550000,0,0 -2018,VT,0.550000,0,0 -2019,VT,0.550000,0,0 -2020,VT,0.590000,0,0 -2021,VT,0.590000,0,0 -2022,VT,0.590000,0,0 -2023,VT,0.630000,0,0 -2024,VT,0.630000,0,0 -2025,VT,0.630000,0,0 -2026,VT,0.670000,0,0 -2027,VT,0.710000,0,0 -2028,VT,0.750000,0,0 -2029,VT,0.790000,0,0 -2030,VT,0.989836,0,0 -2031,VT,0.992228,0,0 -2032,VT,0.994619,0,0 -2033,VT,0.997011,0,0 -2034,VT,0.999402,0,0 -2035,VT,1,0,0 -2036,VT,1,0,0 -2037,VT,1,0,0 -2038,VT,1,0,0 -2039,VT,1,0,0 -2040,VT,1,0,0 -2041,VT,1,0,0 -2042,VT,1,0,0 -2043,VT,1,0,0 -2044,VT,1,0,0 -2045,VT,1,0,0 -2046,VT,1,0,0 -2047,VT,1,0,0 -2048,VT,1,0,0 -2049,VT,1,0,0 -2050,VT,1,0,0 -2010,WA,0,0,0 -2011,WA,0,0,0 -2012,WA,0.024046,0,0 -2013,WA,0.023797,0,0 -2014,WA,0.024033,0,0 -2015,WA,0.024399,0,0 -2016,WA,0.074048,0,0 -2017,WA,0.071624,0,0 -2018,WA,0.074546,0,0 -2019,WA,0.074237,0,0 -2020,WA,0.128489,0,0 -2021,WA,0.126837,0,0 -2022,WA,0.125714,0,0 -2023,WA,0.131950,0,0 -2024,WA,0.131881,0,0 -2025,WA,0.129339,0,0 -2026,WA,0.129356,0,0 -2027,WA,0.132954,0,0 -2028,WA,0.130731,0,0 -2029,WA,0.129408,0,0 -2030,WA,0.129425,0,0 -2031,WA,0.129442,0,0 -2032,WA,0.129460,0,0 -2033,WA,0.129477,0,0 -2034,WA,0.129494,0,0 -2035,WA,0.129511,0,0 -2036,WA,0.129529,0,0 -2037,WA,0.129546,0,0 -2038,WA,0.129563,0,0 -2039,WA,0.129580,0,0 -2040,WA,0.129598,0,0 -2041,WA,0.129615,0,0 -2042,WA,0.129632,0,0 -2043,WA,0.129649,0,0 -2044,WA,0.129667,0,0 -2045,WA,0.129684,0,0 -2046,WA,0.129701,0,0 -2047,WA,0.129718,0,0 -2048,WA,0.129736,0,0 -2049,WA,0.129753,0,0 -2050,WA,0.129770,0,0 -2010,WI,0.060422,0,0 -2011,WI,0.059803,0,0 -2012,WI,0.059183,0,0 -2013,WI,0.059917,0,0 -2014,WI,0.059359,0,0 -2015,WI,0.100506,0,0 -2016,WI,0.098952,0,0 -2017,WI,0.100334,0,0 -2018,WI,0.097490,0,0 -2019,WI,0.101115,0,0 -2020,WI,0.103388,0,0 -2021,WI,0.099648,0,0 -2022,WI,0.098279,0,0 -2023,WI,0.100512,0,0 -2024,WI,0.101461,0,0 -2025,WI,0.098191,0,0 -2026,WI,0.098226,0,0 -2027,WI,0.099213,0,0 -2028,WI,0.100087,0,0 -2029,WI,0.100217,0,0 -2030,WI,0.099525,0,0 -2031,WI,0.099414,0,0 -2032,WI,0.098999,0,0 -2033,WI,0.098620,0,0 -2034,WI,0.098505,0,0 -2035,WI,0.098540,0,0 -2036,WI,0.098575,0,0 -2037,WI,0.098610,0,0 -2038,WI,0.098645,0,0 -2039,WI,0.098680,0,0 -2040,WI,0.098715,0,0 -2041,WI,0.098750,0,0 -2042,WI,0.098785,0,0 -2043,WI,0.098820,0,0 -2044,WI,0.098854,0,0 -2045,WI,0.098889,0,0 -2046,WI,0.098924,0,0 -2047,WI,0.098959,0,0 -2048,WI,0.098994,0,0 -2049,WI,0.099029,0,0 -2050,WI,0.099064,0,0 -2010,voluntary,0.009722,0,0 -2011,voluntary,0.011713,0,0 -2012,voluntary,0.014350,0,0 -2013,voluntary,0.016916,0,0 -2014,voluntary,0.018124,0,0 -2015,voluntary,0.020821,0,0 -2016,voluntary,0.023127,0,0 -2017,voluntary,0.027167,0,0 -2018,voluntary,0.032475,0,0 -2019,voluntary,0.038784,0,0 -2020,voluntary,0.048610,0,0 -2021,voluntary,0.057369,0,0 -2022,voluntary,0.063270,0,0 -2023,voluntary,0.070446,0,0 -2024,voluntary,0.079580,0,0 -2025,voluntary,0.080788,0,0 -2026,voluntary,0.081997,0,0 -2027,voluntary,0.083205,0,0 -2028,voluntary,0.084414,0,0 -2029,voluntary,0.085622,0,0 -2030,voluntary,0.086831,0,0 -2031,voluntary,0.088039,0,0 -2032,voluntary,0.089248,0,0 -2033,voluntary,0.090457,0,0 -2034,voluntary,0.091665,0,0 -2035,voluntary,0.092874,0,0 -2036,voluntary,0.094082,0,0 -2037,voluntary,0.095291,0,0 -2038,voluntary,0.096499,0,0 -2039,voluntary,0.097708,0,0 -2040,voluntary,0.098916,0,0 -2041,voluntary,0.100125,0,0 -2042,voluntary,0.101334,0,0 -2043,voluntary,0.102542,0,0 -2044,voluntary,0.103751,0,0 -2045,voluntary,0.104959,0,0 -2046,voluntary,0.106168,0,0 -2047,voluntary,0.107376,0,0 -2048,voluntary,0.108585,0,0 -2049,voluntary,0.109793,0,0 -2050,voluntary,0.111002,0,0 From 9361310e2b5d38a38e825fd0a7f412c325a025c7 Mon Sep 17 00:00:00 2001 From: Yunzhi Chen <75238253+Yunzhi-Chen@users.noreply.github.com> Date: Wed, 24 Jun 2026 13:55:17 -0600 Subject: [PATCH 11/16] Update state_policies/data_processing.py Co-authored-by: Wesley Cole <49044852+wesleyjcole@users.noreply.github.com> --- state_policies/data_processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/state_policies/data_processing.py b/state_policies/data_processing.py index cb30cf5..0c918cf 100644 --- a/state_policies/data_processing.py +++ b/state_policies/data_processing.py @@ -53,7 +53,7 @@ def _format_value(x): Hydrosheet_CES_skiprows = 39 Hydrosheet_CES_nrows = 16 -### Input voluntary RPS data which is downloaded from NLR Green Power Data +### Input voluntary RPS data which is downloaded from NLR Voluntary Power Procurement website ### If update the input file, please make sure the below table parameters are updated accordingly. ### https://www.nlr.gov/analysis/voluntary-power-procurement ### ----------------------------------------------------------------------------- From 5eb92d0a7b9968e9f658194de37340ce081d6177 Mon Sep 17 00:00:00 2001 From: Yunzhi Chen <75238253+Yunzhi-Chen@users.noreply.github.com> Date: Wed, 24 Jun 2026 14:00:21 -0600 Subject: [PATCH 12/16] Update state_policies/README.md Co-authored-by: Wesley Cole <49044852+wesleyjcole@users.noreply.github.com> --- state_policies/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/state_policies/README.md b/state_policies/README.md index 8214678..ae1ee05 100644 --- a/state_policies/README.md +++ b/state_policies/README.md @@ -33,7 +33,7 @@ All located in `inputs/`: | Input | Description | | --- | --- | -| `RPS & CES Targets and Demand_June 2026.xlsx` | Annual LBNL state RPS / CES dataset, provided by Galen Barbose. Source: https://emp.lbl.gov/projects/renewables-portfolio. The script reads four sheets from this file: `Statewide Sales`, `RPS & CES Demand (GWh)`, and `Non-RE Accounting`. Note: starting with the June 2026 release LBNL no longer publishes the `Non-RE Accounting` sheet in the public workbook. Galen sends it separately to NREL, and we paste it back into this file as the `Non-RE Accounting` tab so the workbook is self-contained. | +| `RPS & CES Targets and Demand_June 2026.xlsx` | Annual LBNL state RPS / CES dataset, provided by Galen Barbose. Source: https://emp.lbl.gov/projects/renewables-portfolio. The script reads four sheets from this file: `Statewide Sales`, `RPS & CES Demand (GWh)`, and `Non-RE Accounting`. Note: the `Non-RE Accounting` sheet is not in the public workbook. Galen sends it separately, and we paste it back into this file as the `Non-RE Accounting` tab so the workbook is self-contained. | | `nrel-green-power-data-v2024.xlsx` | NLR Green Power Data (formerly NREL), used for the voluntary RPS row. Source: https://www.nlr.gov/analysis/voluntary-power-procurement. | | `RPS_nonUS.csv` | Non-US RPS data provided by the ReEDS team (currently only Nova Scotia, `NS`). | | `hierarchy.csv` | Region hierarchy from a recent ReEDS Reference run, used to map BAs to states for the hydrofrac calculation. | From 186ef781c988198a4c7b6a345b7f82fadc25b7bf Mon Sep 17 00:00:00 2001 From: Yunzhi Chen <75238253+Yunzhi-Chen@users.noreply.github.com> Date: Wed, 24 Jun 2026 14:00:44 -0600 Subject: [PATCH 13/16] Update state_policies/README.md Co-authored-by: Wesley Cole <49044852+wesleyjcole@users.noreply.github.com> --- state_policies/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/state_policies/README.md b/state_policies/README.md index ae1ee05..704934e 100644 --- a/state_policies/README.md +++ b/state_policies/README.md @@ -35,7 +35,7 @@ All located in `inputs/`: | --- | --- | | `RPS & CES Targets and Demand_June 2026.xlsx` | Annual LBNL state RPS / CES dataset, provided by Galen Barbose. Source: https://emp.lbl.gov/projects/renewables-portfolio. The script reads four sheets from this file: `Statewide Sales`, `RPS & CES Demand (GWh)`, and `Non-RE Accounting`. Note: the `Non-RE Accounting` sheet is not in the public workbook. Galen sends it separately, and we paste it back into this file as the `Non-RE Accounting` tab so the workbook is self-contained. | | `nrel-green-power-data-v2024.xlsx` | NLR Green Power Data (formerly NREL), used for the voluntary RPS row. Source: https://www.nlr.gov/analysis/voluntary-power-procurement. | -| `RPS_nonUS.csv` | Non-US RPS data provided by the ReEDS team (currently only Nova Scotia, `NS`). | +| `RPS_nonUS.csv` | Non-US RPS data (currently only Nova Scotia, `NS`). | | `hierarchy.csv` | Region hierarchy from a recent ReEDS Reference run, used to map BAs to states for the hydrofrac calculation. | | `gen_ann.csv` | Annual generation by tech and BA from a recent ReEDS Reference run, used to compute hydro / non-RE shares for the hydrofrac calculation. | From dad911af5acbd34e8dfe333981bd1384b8625546 Mon Sep 17 00:00:00 2001 From: Yunzhi Chen <75238253+Yunzhi-Chen@users.noreply.github.com> Date: Wed, 24 Jun 2026 14:05:32 -0600 Subject: [PATCH 14/16] Update state_policies/README.md Co-authored-by: Wesley Cole <49044852+wesleyjcole@users.noreply.github.com> --- state_policies/README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/state_policies/README.md b/state_policies/README.md index 704934e..8a0dbdf 100644 --- a/state_policies/README.md +++ b/state_policies/README.md @@ -46,9 +46,8 @@ a new release: 1. Download the new LBNL RPS dataset from https://emp.lbl.gov/projects/renewables-portfolio and place it in - `inputs/` (e.g. `RPS & CES Targets and Demand_June 2026.xlsx`). Since - June 2026, the public workbook no longer contains the `Non-RE Accounting` - sheet — request it from Galen Barbose and paste it back into the workbook + `inputs/` (e.g. `RPS & CES Targets and Demand_June 2026.xlsx`). To get the `Non-RE Accounting` + sheet, request it from Galen Barbose and paste it back into the workbook as a sheet named `Non-RE Accounting`. 2. Open `data_processing.py` and update the parameters at the top of the file: - `filename` — point to the new file. From 0d8692dd0f3f1c35fd39b90096ec2287feb812be Mon Sep 17 00:00:00 2001 From: Yunzhi-Chen Date: Wed, 24 Jun 2026 14:10:55 -0600 Subject: [PATCH 15/16] Update README.md --- state_policies/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/state_policies/README.md b/state_policies/README.md index fc34a60..3cc904d 100644 --- a/state_policies/README.md +++ b/state_policies/README.md @@ -95,7 +95,7 @@ in git** (see `.gitignore`). The canonical copies of the three files below live in the ReEDS repository after the annual update PR is merged; the diagnostic intermediates are only needed locally to regenerate the comparison plots. -Files that get copied into ReEDS (`inputs/state_policy`): +Files that get copied into ReEDS (`inputs/state_policies/` in the ReEDS repo): * `rps_fraction.csv` * `ces_fraction.csv` From c5aaaba4fa124e84d0d9c9a28492bafe68b0bd38 Mon Sep 17 00:00:00 2001 From: Yunzhi-Chen Date: Wed, 24 Jun 2026 14:22:42 -0600 Subject: [PATCH 16/16] Change interpolation base year back to 2023 so the policy change will not be steep --- state_policies/data_processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/state_policies/data_processing.py b/state_policies/data_processing.py index 76e94b2..75093e8 100644 --- a/state_policies/data_processing.py +++ b/state_policies/data_processing.py @@ -357,7 +357,7 @@ def interpolate_policy_file(input_path, output_path, index_col='t', state_col='st', column_tolerances=None, - base_year=2025): + base_year=2023): print(f"...Interpolating policy file: {input_path} to {output_path}")