diff --git a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
index 1d0d0aee..c6cd40ac 100644
--- a/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
+++ b/WEBSITE_OUTPUT/data/bias_ushouse-elections.csv
@@ -1,1401 +1,2651 @@
-cycle,stateabrev,newplan,EG,seats,url,districts
-1972,AK,yes,-0.625,1,,
-1972,AL,yes,-0.030,7,,
-1972,AR,yes,0.235,4,,
-1972,AZ,yes,-0.207,4,,
-1972,CA,yes,-0.006,43,,
-1972,CO,yes,-0.043,5,,
-1972,CT,yes,0.025,6,,
-1972,DE,yes,-0.242,1,,
-1972,FL,yes,0.194,15,,
-1972,GA,yes,0.338,10,,
-1972,HI,yes,0.382,2,,
-1972,IA,yes,-0.033,6,,
-1972,ID,yes,-0.231,2,,
-1972,IL,yes,-0.065,24,,
-1972,IN,yes,-0.060,11,,
-1972,KS,yes,0.056,5,,
-1972,KY,yes,0.208,7,,
-1972,LA,yes,0.129,8,,
-1972,MA,yes,0.101,12,,
-1972,MD,yes,-0.040,8,,
-1972,ME,yes,-0.057,2,,
-1972,MI,yes,-0.025,19,,
-1972,MN,yes,-0.082,8,,
-1972,MO,yes,0.206,10,,
-1972,MS,yes,0.024,5,,
-1972,MT,yes,-0.210,2,,
-1972,NC,yes,0.114,11,,
-1972,ND,yes,-0.043,1,,
-1972,NE,yes,-0.181,3,,
-1972,NH,yes,-0.095,2,,
-1972,NJ,yes,0.042,15,,
-1972,NM,yes,-0.126,2,,
-1972,NV,yes,-0.457,1,,
-1972,NY,yes,0.053,39,,
-1972,OH,yes,-0.132,23,,
-1972,OK,yes,0.194,6,,
-1972,OR,yes,0.048,4,,
-1972,PA,yes,0.084,25,,
-1972,RI,yes,0.246,2,,
-1972,SC,yes,0.023,6,,
-1972,SD,yes,-0.062,2,,
-1972,TN,yes,-0.101,8,,
-1972,TX,yes,0.131,24,,
-1972,UT,yes,0.378,2,,
-1972,VA,yes,-0.113,10,,
-1972,VT,yes,-0.200,1,,
-1972,WA,yes,0.038,7,,
-1972,WI,yes,-0.082,9,,
-1972,WV,yes,0.318,4,,
-1972,WY,yes,0.466,1,,
-1974,AK,,-0.423,1,,
-1974,AL,,-0.047,7,,
-1974,AR,,-0.038,4,,
-1974,AZ,,-0.256,4,,
-1974,CA,yes,0.019,43,,
-1974,CO,,0.037,5,,
-1974,CT,,-0.003,6,,
-1974,DE,,-0.307,1,,
-1974,FL,,0.072,15,,
-1974,GA,,0.165,10,,
-1974,HI,,0.278,2,,
-1974,IA,,0.250,6,,
-1974,ID,,-0.360,2,,
-1974,IL,,-0.084,24,,
-1974,IN,,0.210,11,,
-1974,KS,,-0.175,5,,
-1974,KY,,-0.077,7,,
-1974,LA,,-0.011,8,,
-1974,MA,,0.077,12,,
-1974,MD,,-0.083,8,,
-1974,ME,,-0.298,2,,
-1974,MI,,-0.048,19,,
-1974,MN,,-0.053,8,,
-1974,MO,,0.058,10,,
-1974,MS,,0.077,5,,
-1974,MT,,0.328,2,,
-1974,NC,,0.091,11,,
-1974,ND,,-0.386,1,,
-1974,NE,,-0.445,3,,
-1974,NH,,0.118,2,,
-1974,NJ,,0.035,15,,
-1974,NM,,-0.041,2,,
-1974,NV,,0.290,1,,
-1974,NY,yes,0.046,39,,
-1974,OH,,-0.149,23,,
-1974,OK,,0.084,6,,
-1974,OR,,0.218,4,,
-1974,PA,,-0.082,25,,
-1974,RI,,-0.014,2,,
-1974,SC,,0.161,6,,
-1974,SD,,-0.274,2,,
-1974,TN,,0.094,8,,
-1974,TX,yes,0.050,24,,
-1974,UT,,0.329,2,,
-1974,VA,,-0.048,10,,
-1974,VT,,-0.337,1,,
-1974,WA,,0.179,7,,
-1974,WI,,0.084,9,,
-1974,WV,,0.176,4,,
-1974,WY,,0.406,1,,
-1976,AK,,-0.080,1,,
-1976,AL,,-0.126,7,,
-1976,AR,,-0.033,4,,
-1976,AZ,,-0.022,4,,
-1976,CA,,0.052,43,,
-1976,CO,,0.181,5,,
-1976,CT,,0.144,6,,
-1976,DE,,-0.461,1,,
-1976,FL,,0.037,15,,
-1976,GA,,0.150,10,,
-1976,HI,,0.093,2,,
-1976,IA,,0.019,6,,
-1976,ID,,-0.447,2,,
-1976,IL,,-0.031,24,,
-1976,IN,,0.146,11,,
-1976,KS,,0.120,5,,
-1976,KY,,0.038,7,,
-1976,LA,,0.006,8,,
-1976,MA,,0.079,12,,
-1976,MD,,-0.105,8,,
-1976,ME,,-0.149,2,,
-1976,MI,,-0.037,19,,
-1976,MN,,-0.111,8,,
-1976,MO,,0.158,10,,
-1976,MS,,-0.005,5,,
-1976,MT,,-0.125,2,,
-1976,NC,,0.098,11,,
-1976,ND,,-0.231,1,,
-1976,NE,,0.126,3,,
-1976,NH,,-0.076,2,,
-1976,NJ,,0.117,15,,
-1976,NM,,0.073,2,,
-1976,NV,,-0.229,1,,
-1976,NY,,0.034,39,,
-1976,OH,,-0.024,23,,
-1976,OK,,0.039,6,,
-1976,OR,,0.208,4,,
-1976,PA,,0.066,25,,
-1976,RI,,0.090,2,,
-1976,SC,,0.130,6,,
-1976,SD,,0.006,2,,
-1976,TN,yes,0.021,8,,
-1976,TX,,0.188,24,,
-1976,UT,,-0.029,2,,
-1976,VA,,-0.090,10,,
-1976,VT,,-0.129,1,,
-1976,WA,,0.049,7,,
-1976,WI,,0.109,9,,
-1976,WV,,0.152,4,,
-1976,WY,,0.371,1,,
-1978,AK,,-0.390,1,,
-1978,AL,,-0.115,7,,
-1978,AR,,0.018,4,,
-1978,AZ,,0.113,4,,
-1978,CA,,0.043,43,,
-1978,CO,,0.143,5,,
-1978,CT,,0.167,6,,
-1978,DE,,-0.329,1,,
-1978,FL,,0.128,15,,
-1978,GA,,-0.005,10,,
-1978,HI,,-0.169,2,,
-1978,IA,,0.004,6,,
-1978,ID,,-0.327,2,,
-1978,IL,,-0.065,24,,
-1978,IN,,0.087,11,,
-1978,KS,,-0.192,5,,
-1978,KY,,0.042,7,,
-1978,LA,,0.252,8,,
-1978,MA,,0.078,12,,
-1978,MD,,0.004,8,,
-1978,ME,,-0.306,2,,
-1978,MI,,0.042,19,,
-1978,MN,,0.016,8,,
-1978,MO,,0.046,10,,
-1978,MS,,-0.058,5,,
-1978,MT,,-0.013,2,,
-1978,NC,,0.152,11,,
-1978,ND,,-0.130,1,,
-1978,NE,,0.090,3,,
-1978,NH,,0.044,2,,
-1978,NJ,,0.057,15,,
-1978,NM,,0.027,2,,
-1978,NV,,0.002,1,,
-1978,NY,,0.059,39,,
-1978,OH,,0.001,23,,
-1978,OK,,0.143,6,,
-1978,OR,,0.203,4,,
-1978,PA,,0.073,25,,
-1978,RI,,0.368,2,,
-1978,SC,,0.005,6,,
-1978,SD,,0.059,2,,
-1978,TN,,0.117,8,,
-1978,TX,,0.179,24,,
-1978,UT,,0.118,2,,
-1978,VA,,0.031,10,,
-1978,VT,,0.092,1,,
-1978,WA,,0.298,7,,
-1978,WI,,0.105,9,,
-1978,WV,,0.262,4,,
-1978,WY,,-0.327,1,,
-1980,AK,,-0.018,1,,
-1980,AL,,-0.053,7,,
-1980,AR,,0.163,4,,
-1980,AZ,,0.048,4,,
-1980,CA,,0.077,43,,
-1980,CO,,0.201,5,,
-1980,CT,,0.125,6,,
-1980,DE,,-0.255,1,,
-1980,FL,,0.109,15,,
-1980,GA,,0.053,10,,
-1980,HI,,-0.241,2,,
-1980,IA,,-0.027,6,,
-1980,ID,,-0.377,2,,
-1980,IL,,-0.001,24,,
-1980,IN,,0.051,11,,
-1980,KS,,-0.170,5,,
-1980,KY,,0.030,7,,
-1980,LA,,0.331,8,,
-1980,MA,,0.134,12,,
-1980,MD,,0.141,8,,
-1980,ME,,-0.037,2,,
-1980,MI,,0.067,19,,
-1980,MN,,-0.082,8,,
-1980,MO,,0.017,10,,
-1980,MS,,0.200,5,,
-1980,MT,,-0.041,2,,
-1980,NC,,0.062,11,,
-1980,ND,,0.357,1,,
-1980,NE,,-0.041,3,,
-1980,NH,,0.026,2,,
-1980,NJ,,0.053,15,,
-1980,NM,,-0.468,2,,
-1980,NV,,0.053,1,,
-1980,NY,,0.076,39,,
-1980,OH,,0.058,23,,
-1980,OK,,0.212,6,,
-1980,OR,,0.051,4,,
-1980,PA,,-0.026,25,,
-1980,RI,,-0.106,2,,
-1980,SC,,-0.172,6,,
-1980,SD,,-0.085,2,,
-1980,TN,,0.023,8,,
-1980,TX,,0.224,24,,
-1980,UT,,-0.295,2,,
-1980,VA,,-0.147,10,,
-1980,VT,,-0.025,1,,
-1980,WA,,0.200,7,,
-1980,WI,,0.048,9,,
-1980,WV,,-0.140,4,,
-1980,WY,,-0.129,1,,
-1982,AK,yes,-0.077,1,,
-1982,AL,yes,-0.080,7,,
-1982,AR,yes,-0.047,4,,
-1982,AZ,yes,0.036,5,,
-1982,CA,yes,0.115,45,,
-1982,CO,yes,0.039,6,,
-1982,CT,yes,0.080,6,,
-1982,DE,yes,0.439,1,,
-1982,FL,yes,0.005,19,,
-1982,GA,yes,0.045,10,,
-1982,HI,yes,-0.034,2,,
-1982,IA,yes,-0.053,6,,
-1982,ID,yes,-0.440,2,,
-1982,IL,yes,-0.067,22,,
-1982,IN,yes,0.015,10,,
-1982,KS,yes,-0.026,5,,
-1982,KY,yes,-0.083,7,,
-1982,LA,yes,0.075,8,,
-1982,MA,yes,0.100,11,,
-1982,MD,yes,0.014,8,,
-1982,ME,yes,-0.335,2,,
-1982,MI,yes,0.026,18,,
-1982,MN,yes,0.022,8,,
-1982,MO,yes,0.024,9,,
-1982,MS,yes,0.042,5,,
-1982,MT,yes,-0.076,2,,
-1982,NC,yes,0.154,11,,
-1982,ND,yes,0.058,1,,
-1982,NE,yes,-0.140,3,,
-1982,NH,yes,0.148,2,,
-1982,NJ,yes,0.006,14,,
-1982,NM,yes,-0.194,3,,
-1982,NV,yes,0.007,2,,
-1982,NY,yes,-0.005,34,,
-1982,OH,yes,-0.090,21,,
-1982,OK,yes,0.064,6,,
-1982,OR,yes,-0.039,5,,
-1982,PA,yes,0.001,23,,
-1982,RI,yes,-0.050,2,,
-1982,SC,yes,-0.019,6,,
-1982,SD,yes,0.469,1,,
-1982,TN,yes,-0.055,9,,
-1982,TX,yes,0.110,27,,
-1982,UT,yes,-0.337,3,,
-1982,VA,yes,-0.063,10,,
-1982,VT,yes,-0.002,1,,
-1982,WA,yes,0.059,8,,
-1982,WI,yes,-0.047,9,,
-1982,WV,yes,0.242,4,,
-1982,WY,yes,-0.078,1,,
-1984,AK,,-0.362,1,,
-1984,AL,,0.015,7,,
-1984,AR,,0.284,4,,
-1984,AZ,,-0.011,5,,
-1984,CA,yes,0.097,45,,
-1984,CO,,0.034,6,,
-1984,CT,,0.066,6,,
-1984,DE,,0.329,1,,
-1984,FL,,0.148,19,,
-1984,GA,,0.036,10,,
-1984,HI,,-0.197,2,,
-1984,IA,,-0.105,6,,
-1984,ID,,0.186,2,,
-1984,IL,,0.062,22,,
-1984,IN,,0.058,10,,
-1984,KS,,0.009,5,,
-1984,KY,,0.027,7,,
-1984,LA,,0.236,8,,
-1984,MA,,0.145,11,,
-1984,MD,,-0.013,8,,
-1984,ME,,-0.104,2,,
-1984,MI,,0.071,18,,
-1984,MN,,0.044,8,,
-1984,MO,,0.117,9,,
-1984,MS,,0.107,5,,
-1984,MT,,-0.024,2,,
-1984,NC,,-0.003,11,,
-1984,ND,,-0.074,1,,
-1984,NE,,-0.016,3,,
-1984,NH,,-0.140,2,,
-1984,NJ,yes,0.059,14,,
-1984,NM,,0.021,3,,
-1984,NV,,0.173,2,,
-1984,NY,,0.025,34,,
-1984,OH,,0.085,21,,
-1984,OK,,0.163,6,,
-1984,OR,,0.011,5,,
-1984,PA,,0.002,23,,
-1984,RI,,0.000,2,,
-1984,SC,,0.044,6,,
-1984,SD,,0.353,1,,
-1984,TN,,0.096,9,,
-1984,TX,yes,0.150,27,,
-1984,UT,,-0.199,3,,
-1984,VA,,0.007,10,,
-1984,VT,,-0.079,1,,
-1984,WA,yes,0.015,8,,
-1984,WI,,0.104,9,,
-1984,WV,,0.281,4,,
-1984,WY,,0.002,1,,
-1986,AK,,-0.342,1,,
-1986,AL,,-0.070,7,,
-1986,AR,,0.069,4,,
-1986,AZ,,-0.046,5,,
-1986,CA,,0.049,45,,
-1986,CO,,0.115,6,,
-1986,CT,,-0.113,6,,
-1986,DE,,0.172,1,,
-1986,FL,,0.057,19,,
-1986,GA,,-0.004,10,,
-1986,HI,,-0.161,2,,
-1986,IA,,-0.129,6,,
-1986,ID,,0.122,2,,
-1986,IL,,-0.004,22,,
-1986,IN,,0.079,10,,
-1986,KS,,0.021,5,,
-1986,KY,,-0.062,7,,
-1986,LA,,-0.066,8,,
-1986,MA,,0.083,11,,
-1986,MD,,-0.008,8,,
-1986,ME,,0.202,2,,
-1986,MI,,-0.046,18,,
-1986,MN,,-0.072,8,,
-1986,MO,,-0.060,9,,
-1986,MS,,0.116,5,,
-1986,MT,,-0.083,2,,
-1986,NC,,0.095,11,,
-1986,ND,,-0.027,1,,
-1986,NE,,-0.209,3,,
-1986,NH,,-0.202,2,,
-1986,NJ,,0.036,14,,
-1986,NM,,-0.094,3,,
-1986,NV,,0.049,2,,
-1986,NY,,0.021,34,,
-1986,OH,yes,0.027,21,,
-1986,OK,,-0.046,6,,
-1986,OR,,-0.034,5,,
-1986,PA,,-0.019,23,,
-1986,RI,,0.151,2,,
-1986,SC,,-0.026,6,,
-1986,SD,,0.316,1,,
-1986,TN,,0.065,9,,
-1986,TX,,0.074,27,,
-1986,UT,,-0.089,3,,
-1986,VA,,0.009,10,,
-1986,VT,,-0.097,1,,
-1986,WA,,-0.061,8,,
-1986,WI,,0.077,9,,
-1986,WV,,0.126,4,,
-1986,WY,,-0.111,1,,
-1988,AK,,-0.247,1,,
-1988,AL,,0.017,7,,
-1988,AR,,-0.195,4,,
-1988,AZ,,-0.015,5,,
-1988,CA,,0.037,45,,
-1988,CO,,0.016,6,,
-1988,CT,,0.012,6,,
-1988,DE,,0.150,1,,
-1988,FL,,-0.059,19,,
-1988,GA,,0.120,10,,
-1988,HI,,-0.184,2,,
-1988,IA,,-0.144,6,,
-1988,ID,,0.013,2,,
-1988,IL,,0.075,22,,
-1988,IN,,0.165,10,,
-1988,KS,,0.029,5,,
-1988,KY,,0.110,7,,
-1988,LA,,0.081,8,,
-1988,MA,,0.079,11,,
-1988,MD,,0.063,8,,
-1988,ME,,0.004,2,,
-1988,MI,,0.048,18,,
-1988,MN,,-0.048,8,,
-1988,MO,,-0.060,9,,
-1988,MS,,0.173,5,,
-1988,MT,,-0.059,2,,
-1988,NC,,0.162,11,,
-1988,ND,,0.069,1,,
-1988,NE,,0.133,3,,
-1988,NH,,-0.324,2,,
-1988,NJ,,0.118,14,,
-1988,NM,,-0.222,3,,
-1988,NV,,-0.052,2,,
-1988,NY,,0.061,34,,
-1988,OH,,0.001,21,,
-1988,OK,,-0.041,6,,
-1988,OR,,-0.140,5,,
-1988,PA,,0.015,23,,
-1988,RI,,-0.218,2,,
-1988,SC,,0.055,6,,
-1988,SD,,0.065,1,,
-1988,TN,,0.111,9,,
-1988,TX,,0.153,27,,
-1988,UT,,-0.032,3,,
-1988,VA,,0.093,10,,
-1988,VT,,-0.128,1,,
-1988,WA,,0.039,8,,
-1988,WI,,0.084,9,,
-1988,WV,,0.116,4,,
-1988,WY,,-0.146,1,,
-1990,AK,,-0.462,1,,
-1990,AL,,-0.050,7,,
-1990,AR,,0.140,4,,
-1990,AZ,,-0.130,5,,
-1990,CA,,0.028,45,,
-1990,CO,,-0.016,6,,
-1990,CT,,0.055,6,,
-1990,DE,,0.166,1,,
-1990,FL,,-0.023,19,,
-1990,GA,,0.173,10,,
-1990,HI,,0.206,2,,
-1990,IA,,-0.094,6,,
-1990,ID,,0.336,2,,
-1990,IL,,0.042,22,,
-1990,IN,,0.202,10,,
-1990,KS,,-0.108,5,,
-1990,KY,,0.080,7,,
-1990,LA,,-0.040,8,,
-1990,MA,,0.280,11,,
-1990,MD,,0.080,8,,
-1990,ME,,-0.100,2,,
-1990,MI,,0.047,18,,
-1990,MN,,0.078,8,,
-1990,MO,,0.090,9,,
-1990,MS,,-0.045,5,,
-1990,MT,,0.010,2,,
-1990,NC,,0.066,11,,
-1990,ND,,0.196,1,,
-1990,NE,,-0.111,3,,
-1990,NH,,0.027,2,,
-1990,NJ,,0.175,14,,
-1990,NM,,-0.128,3,,
-1990,NV,,0.023,2,,
-1990,NY,,0.042,34,,
-1990,OH,,-0.020,21,,
-1990,OK,,-0.045,6,,
-1990,OR,,0.086,5,,
-1990,PA,,-0.072,23,,
-1990,RI,,-0.049,2,,
-1990,SC,,0.058,6,,
-1990,SD,,0.149,1,,
-1990,TN,,0.048,9,,
-1990,TX,,0.176,27,,
-1990,UT,,0.066,3,,
-1990,VA,,0.107,10,,
-1990,VT,,0,1,,
-1990,WA,,0.048,8,,
-1990,WI,,-0.096,9,,
-1990,WV,,0.258,4,,
-1990,WY,,-0.398,1,,
-1992,AK,yes,-0.456,1,,
-1992,AL,yes,-0.093,7,,
-1992,AR,yes,-0.191,4,,
-1992,AZ,yes,0.119,6,,
-1992,CA,yes,-0.011,52,,
-1992,CO,yes,-0.121,6,,
-1992,CT,yes,0.164,6,,
-1992,DE,yes,-0.368,1,,
-1992,FL,yes,-0.028,23,,
-1992,GA,yes,0.039,11,,
-1992,HI,yes,-0.023,2,,
-1992,IA,yes,-0.238,5,,
-1992,ID,yes,0.018,2,,
-1992,IL,yes,-0.022,20,,
-1992,IN,yes,0.106,10,,
-1992,KS,yes,0.096,4,,
-1992,KY,yes,0.106,6,,
-1992,LA,yes,0.027,7,,
-1992,MA,yes,0.052,10,,
-1992,MD,yes,-0.063,8,,
-1992,ME,yes,-0.133,2,,
-1992,MI,yes,0.075,16,,
-1992,MN,yes,0.133,8,,
-1992,MO,yes,0.066,9,,
-1992,MS,yes,0.080,5,,
-1992,MT,yes,0.464,1,,
-1992,NC,yes,0.135,12,,
-1992,ND,yes,0.319,1,,
-1992,NE,yes,0.036,3,,
-1992,NH,yes,-0.079,2,,
-1992,NJ,yes,0.091,13,,
-1992,NM,yes,-0.157,3,,
-1992,NV,yes,-0.069,2,,
-1992,NY,yes,0.043,31,,
-1992,OH,yes,0.011,19,,
-1992,OK,yes,-0.038,6,,
-1992,OR,yes,0.103,5,,
-1992,PA,yes,-0.010,21,,
-1992,RI,yes,-0.017,2,,
-1992,SC,yes,-0.039,6,,
-1992,SD,yes,0.060,1,,
-1992,TN,yes,0.137,9,,
-1992,TX,yes,0.186,30,,
-1992,UT,yes,0.211,3,,
-1992,VA,yes,0.075,11,,
-1992,VT,yes,0,1,,
-1992,WA,yes,0.238,9,,
-1992,WI,yes,-0.031,9,,
-1992,WV,yes,0.134,3,,
-1992,WY,yes,-0.309,1,,
-1994,AK,,-0.230,1,,
-1994,AL,,0.165,7,,
-1994,AR,,0.052,4,,
-1994,AZ,,-0.104,6,,
-1994,CA,,0.039,52,,
-1994,CO,,0.098,6,,
-1994,CT,,0.097,6,,
-1994,DE,,-0.046,1,,
-1994,FL,,0.013,23,,
-1994,GA,,-0.137,11,,
-1994,HI,,0.206,2,,
-1994,IA,,-0.342,5,,
-1994,ID,,-0.201,2,,
-1994,IL,,0.047,20,,
-1994,IN,,0.035,10,,
-1994,KS,,-0.230,4,,
-1994,KY,,0.009,6,,
-1994,LA,,0.010,7,,
-1994,MA,,0.060,10,,
-1994,MD,,0.015,8,,
-1994,ME,,-0.004,2,,
-1994,MI,,0.101,16,,
-1994,MN,yes,0.229,8,,
-1994,MO,,0.132,9,,
-1994,MS,,0.139,5,,
-1994,MT,,0.429,1,,
-1994,NC,,-0.038,12,,
-1994,ND,,0.425,1,,
-1994,NE,,-0.214,3,,
-1994,NH,,-0.286,2,,
-1994,NJ,,-0.005,13,,
-1994,NM,,0.002,3,,
-1994,NV,,-0.279,2,,
-1994,NY,,0.064,31,,
-1994,OH,,-0.052,19,,
-1994,OK,,-0.207,6,,
-1994,OR,,-0.029,5,,
-1994,PA,,0.036,21,,
-1994,RI,,0.275,2,,
-1994,SC,,0.016,6,,
-1994,SD,,0.259,1,,
-1994,TN,,0.014,9,,
-1994,TX,,0.184,30,,
-1994,UT,,-0.089,3,,
-1994,VA,yes,0.110,11,,
-1994,VT,,0,1,,
-1994,WA,,-0.262,9,,
-1994,WI,,-0.005,9,,
-1994,WV,,0.177,3,,
-1994,WY,,-0.374,1,,
-1996,AK,,-0.260,1,,
-1996,AL,,-0.124,7,,
-1996,AR,,0.084,4,,
-1996,AZ,,-0.118,6,,
-1996,CA,,0.018,52,,
-1996,CO,,-0.001,6,,
-1996,CT,,0.068,6,,
-1996,DE,,-0.066,1,,
-1996,FL,yes,-0.038,23,,
-1996,GA,yes,-0.145,11,,
-1996,HI,,0.319,2,,
-1996,IA,,-0.201,5,,
-1996,ID,,-0.300,2,,
-1996,IL,,-0.094,20,,
-1996,IN,,-0.013,10,,
-1996,KS,,-0.329,4,,
-1996,KY,,-0.200,6,,
-1996,LA,,-0.171,7,,
-1996,MA,,0.206,10,,
-1996,MD,,-0.070,8,,
-1996,ME,,0.215,2,,
-1996,MI,,0.051,16,,
-1996,MN,,0.132,8,,
-1996,MO,,-0.090,9,,
-1996,MS,,0.005,5,,
-1996,MT,,-0.403,1,,
-1996,NC,,0.082,12,,
-1996,ND,,0.380,1,,
-1996,NE,,-0.125,3,,
-1996,NH,,-0.445,2,,
-1996,NJ,,-0.021,13,,
-1996,NM,,-0.519,3,,
-1996,NV,,-0.320,2,,
-1996,NY,,-0.042,31,,
-1996,OH,,-0.014,19,,
-1996,OK,,-0.246,6,,
-1996,OR,,0.173,5,,
-1996,PA,,-0.014,21,,
-1996,RI,,0.118,2,,
-1996,SC,,-0.041,6,,
-1996,SD,,-0.282,1,,
-1996,TN,,-0.037,9,,
-1996,TX,yes,0.141,30,,
-1996,UT,,-0.313,3,,
-1996,VA,,0.041,11,,
-1996,VT,,0,1,,
-1996,WA,,-0.217,9,,
-1996,WI,,0.106,9,,
-1996,WV,,0.132,3,,
-1996,WY,,-0.350,1,,
-1998,AK,,-0.212,1,,
-1998,AL,,-0.118,7,,
-1998,AR,,-0.008,4,,
-1998,AZ,,-0.161,6,,
-1998,CA,,-0.057,52,,
-1998,CO,,-0.021,6,,
-1998,CT,,0.116,6,,
-1998,DE,,-0.148,1,,
-1998,FL,,-0.046,23,,
-1998,GA,,-0.081,11,,
-1998,HI,,0.128,2,,
-1998,IA,,-0.149,5,,
-1998,ID,,-0.406,2,,
-1998,IL,,-0.057,20,,
-1998,IN,,0.023,10,,
-1998,KS,,-0.004,4,,
-1998,KY,,-0.167,6,,
-1998,LA,,-0.143,7,,
-1998,MA,,0.103,10,,
-1998,MD,,-0.090,8,,
-1998,ME,,0.116,2,,
-1998,MI,,0.082,16,,
-1998,MN,,0.149,8,,
-1998,MO,,0.031,9,,
-1998,MS,,0.046,5,,
-1998,MT,,-0.403,1,,
-1998,NC,yes,-0.006,12,,
-1998,ND,,0.345,1,,
-1998,NE,,-0.018,3,,
-1998,NH,,-0.289,2,,
-1998,NJ,,0.013,13,,
-1998,NM,,-0.129,3,,
-1998,NV,,0.174,2,,
-1998,NY,yes,0.003,31,,
-1998,OH,,-0.032,19,,
-1998,OK,,-0.237,6,,
-1998,OR,,0.154,5,,
-1998,PA,,0.018,21,,
-1998,RI,,0.102,2,,
-1998,SC,,-0.115,6,,
-1998,SD,,0.002,1,,
-1998,TN,,-0.024,9,,
-1998,TX,,0.143,30,,
-1998,UT,,-0.287,3,,
-1998,VA,yes,0.081,11,,
-1998,VT,,0,1,,
-1998,WA,,-0.016,9,,
-1998,WI,,0.019,9,,
-1998,WV,,0.041,3,,
-1998,WY,,-0.302,1,,
-2000,AK,,0.116,1,,
-2000,AL,,-0.078,7,,
-2000,AR,,0.251,4,,
-2000,AZ,,-0.123,6,,
-2000,CA,,0.010,52,,
-2000,CO,,-0.038,6,,
-2000,CT,,-0.080,6,,
-2000,DE,,-0.126,1,,
-2000,FL,,-0.081,23,,
-2000,GA,,-0.027,11,,
-2000,HI,,0.168,2,,
-2000,IA,,-0.148,5,,
-2000,ID,,-0.094,2,,
-2000,IL,,-0.074,20,,
-2000,IN,,-0.011,10,,
-2000,KS,,-0.006,4,,
-2000,KY,,-0.125,6,,
-2000,LA,,0.004,7,,
-2000,MA,,0.011,10,,
-2000,MD,,-0.107,8,,
-2000,ME,,0.150,2,,
-2000,MI,,-0.034,16,,
-2000,MN,,0.053,8,,
-2000,MO,,-0.052,9,,
-2000,MS,,0.079,5,,
-2000,MT,,-0.447,1,,
-2000,NC,yes,-0.042,12,,
-2000,ND,,0.414,1,,
-2000,NE,,-0.036,3,,
-2000,NH,,-0.381,2,,
-2000,NJ,,-0.012,13,,
-2000,NM,,-0.212,3,,
-2000,NV,,0.191,2,,
-2000,NY,,0.004,31,,
-2000,OH,,-0.022,19,,
-2000,OK,,-0.079,6,,
-2000,OR,,0.169,5,,
-2000,PA,,-0.043,21,,
-2000,RI,,0.031,2,,
-2000,SC,,-0.077,6,,
-2000,SD,,-0.006,1,,
-2000,TN,,-0.043,9,,
-2000,TX,,0.134,30,,
-2000,UT,,0.000,3,,
-2000,VA,,-0.166,11,,
-2000,VT,,0,1,,
-2000,WA,,0.084,9,,
-2000,WI,,0.105,9,,
-2000,WV,,-0.020,3,,
-2000,WY,,-0.099,1,,
-2002,AK,yes,0.123,1,,
-2002,AL,yes,-0.104,7,,
-2002,AR,yes,0.126,4,,
-2002,AZ,yes,-0.068,8,,
-2002,CA,yes,0.056,53,,
-2002,CO,yes,-0.092,7,,
-2002,CT,yes,-0.144,5,,
-2002,DE,yes,-0.041,1,,
-2002,FL,yes,-0.104,25,,
-2002,GA,yes,0.061,13,,
-2002,HI,yes,0.169,2,,
-2002,IA,yes,-0.207,5,,
-2002,ID,yes,-0.200,2,,
-2002,IL,yes,-0.056,19,,
-2002,IN,yes,-0.032,9,,
-2002,KS,yes,-0.017,4,,
-2002,KY,yes,-0.084,6,,
-2002,LA,yes,0.109,7,,
-2002,MA,yes,0.135,10,,
-2002,MD,yes,0.159,8,,
-2002,ME,yes,0.331,2,,
-2002,MI,yes,-0.058,15,,
-2002,MN,yes,-0.022,8,,
-2002,MO,yes,0.031,9,,
-2002,MS,yes,0.043,4,,
-2002,MT,yes,-0.172,1,,
-2002,NC,yes,-0.003,13,,
-2002,ND,yes,0.452,1,,
-2002,NE,yes,-0.061,3,,
-2002,NH,yes,-0.317,2,,
-2002,NJ,yes,0.026,13,,
-2002,NM,yes,-0.204,3,,
-2002,NV,yes,0.108,3,,
-2002,NY,yes,0.078,29,,
-2002,OH,yes,-0.048,18,,
-2002,OK,yes,-0.231,5,,
-2002,OR,yes,0.177,5,,
-2002,PA,yes,-0.082,19,,
-2002,RI,yes,0.104,2,,
-2002,SC,yes,-0.002,6,,
-2002,SD,yes,-0.421,1,,
-2002,TN,yes,0.093,9,,
-2002,TX,yes,0.118,32,,
-2002,UT,yes,0.018,3,,
-2002,VA,yes,-0.041,11,,
-2002,VT,yes,0,1,,
-2002,WA,yes,0.090,9,,
-2002,WI,yes,0.027,8,,
-2002,WV,yes,0.076,3,,
-2002,WY,yes,-0.249,1,,
-2004,AK,,0.021,1,,
-2004,AL,,-0.067,7,,
-2004,AR,,0.095,4,,
-2004,AZ,,-0.089,8,,
-2004,CA,,0.015,53,,
-2004,CO,,-0.073,7,,
-2004,CT,,-0.212,5,,
-2004,DE,,-0.101,1,,
-2004,FL,,-0.086,25,,
-2004,GA,,0.073,13,,
-2004,HI,,0.224,2,,
-2004,IA,,-0.163,5,,
-2004,ID,,-0.098,2,,
-2004,IL,,-0.045,19,,
-2004,IN,,-0.117,9,,
-2004,KS,,-0.022,4,,
-2004,KY,,-0.122,6,,
-2004,LA,,0.053,7,,
-2004,MA,,0.076,10,,
-2004,MD,,0.062,8,,
-2004,ME,,0.307,2,,
-2004,MI,,-0.090,15,,
-2004,MN,,-0.040,8,,
-2004,MO,,0.035,9,,
-2004,MS,,0.068,4,,
-2004,MT,,-0.175,1,,
-2004,NC,,-0.017,13,,
-2004,ND,,0.309,1,,
-2004,NE,,-0.119,3,,
-2004,NH,,-0.262,2,,
-2004,NJ,,-0.012,13,,
-2004,NM,,-0.203,3,,
-2004,NV,,-0.052,3,,
-2004,NY,,-0.003,29,,
-2004,OH,,-0.103,18,,
-2004,OK,,-0.103,5,,
-2004,OR,,0.189,5,,
-2004,PA,,-0.117,19,,
-2004,RI,,0.076,2,,
-2004,SC,,-0.033,6,,
-2004,SD,,0.425,1,,
-2004,TN,,0.065,9,,
-2004,TX,yes,-0.010,32,,
-2004,UT,,0.013,3,,
-2004,VA,,-0.090,11,,
-2004,VT,,0,1,,
-2004,WA,,-0.023,9,,
-2004,WI,,0.068,8,,
-2004,WV,,0.010,3,,
-2004,WY,,-0.362,1,,
-2006,AK,,-0.329,1,,
-2006,AL,,-0.035,7,,
-2006,AR,,0.053,4,,
-2006,AZ,,0.023,8,,
-2006,CA,,-0.013,53,,
-2006,CO,,-0.012,7,,
-2006,CT,,0.086,5,,
-2006,DE,,-0.308,1,,
-2006,FL,,-0.101,25,,
-2006,GA,yes,0.080,13,,
-2006,HI,,0.199,2,,
-2006,IA,,0.129,5,,
-2006,ID,,-0.334,2,,
-2006,IL,,-0.108,19,,
-2006,IN,,0.067,9,,
-2006,KS,,0.126,4,,
-2006,KY,,-0.061,6,,
-2006,LA,,0.103,7,,
-2006,MA,,0.003,10,,
-2006,MD,,0.003,8,,
-2006,ME,,0.135,2,,
-2006,MI,,-0.145,15,,
-2006,MN,,0.059,8,,
-2006,MO,,-0.028,9,,
-2006,MS,,-0.065,4,,
-2006,MT,,-0.298,1,,
-2006,NC,,-0.002,13,,
-2006,ND,,0.186,1,,
-2006,NE,,-0.379,3,,
-2006,NH,,0.450,2,,
-2006,NJ,,-0.069,13,,
-2006,NM,,-0.283,3,,
-2006,NV,,-0.217,3,,
-2006,NY,,-0.017,29,,
-2006,OH,,-0.165,18,,
-2006,OK,,-0.137,5,,
-2006,OR,,0.143,5,,
-2006,PA,,-0.023,19,,
-2006,RI,,-0.024,2,,
-2006,SC,,-0.048,6,,
-2006,SD,,0.096,1,,
-2006,TN,,0.019,9,,
-2006,TX,yes,-0.002,32,,
-2006,UT,,-0.078,3,,
-2006,VA,,-0.169,11,,
-2006,VT,,0.411,1,,
-2006,WA,,-0.052,9,,
-2006,WI,,0.070,8,,
-2006,WV,,0.006,3,,
-2006,WY,,-0.495,1,,
-2008,AK,,-0.446,1,,
-2008,AL,,0.040,7,,
-2008,AR,,0.105,4,,
-2008,AZ,,0.109,8,,
-2008,CA,,-0.084,53,,
-2008,CO,,0.095,7,,
-2008,CT,,0.175,5,,
-2008,DE,,-0.267,1,,
-2008,FL,,-0.069,25,,
-2008,GA,,-0.005,13,,
-2008,HI,,-0.090,2,,
-2008,IA,,0.058,5,,
-2008,ID,,0.185,2,,
-2008,IL,,-0.071,19,,
-2008,IN,,-0.001,9,,
-2008,KS,,-0.045,4,,
-2008,KY,,-0.111,6,,
-2008,LA,,-0.177,7,,
-2008,MA,,0.051,10,,
-2008,MD,,0.000,8,,
-2008,ME,,0.284,2,,
-2008,MI,,-0.039,15,,
-2008,MN,,-0.027,8,,
-2008,MO,,-0.054,9,,
-2008,MS,,0.088,4,,
-2008,MT,,-0.172,1,,
-2008,NC,,0.022,13,,
-2008,ND,,0.261,1,,
-2008,NE,,-0.183,3,,
-2008,NH,,0.394,2,,
-2008,NJ,,-0.007,13,,
-2008,NM,,0.325,3,,
-2008,NV,,0.079,3,,
-2008,NY,,0.057,29,,
-2008,OH,,0.006,18,,
-2008,OK,,-0.071,5,,
-2008,OR,,0.071,5,,
-2008,PA,,0.030,19,,
-2008,RI,,0.062,2,,
-2008,SC,,-0.156,6,,
-2008,SD,,0.149,1,,
-2008,TN,,0.126,9,,
-2008,TX,,-0.039,32,,
-2008,UT,,-0.044,3,,
-2008,VA,,0.045,11,,
-2008,VT,,0.170,1,,
-2008,WA,,-0.017,9,,
-2008,WI,,0.051,8,,
-2008,WV,,0.029,3,,
-2008,WY,,-0.397,1,,
-2010,AK,,-0.114,1,,
-2010,AL,,-0.137,7,,
-2010,AR,,-0.094,4,,
-2010,AZ,,-0.008,8,,
-2010,CA,,0.022,53,,
-2010,CO,,-0.022,7,,
-2010,CT,,0.313,5,,
-2010,DE,,0.339,1,,
-2010,FL,,-0.074,25,,
-2010,GA,,0.029,13,,
-2010,HI,,0.226,2,,
-2010,IA,,0.209,5,,
-2010,ID,,-0.228,2,,
-2010,IL,,-0.122,19,,
-2010,IN,,0.011,9,,
-2010,KS,,-0.181,4,,
-2010,KY,,0.084,6,,
-2010,LA,,-0.027,7,,
-2010,MA,,0.278,10,,
-2010,MD,,0.008,8,,
-2010,ME,,0.380,2,,
-2010,MI,,-0.017,15,,
-2010,MN,,0.026,8,,
-2010,MO,,-0.011,9,,
-2010,MS,,-0.151,4,,
-2010,MT,,-0.218,1,,
-2010,NC,,0.128,13,,
-2010,ND,,-0.402,1,,
-2010,NE,,-0.091,3,,
-2010,NH,,-0.431,2,,
-2010,NJ,,0.053,13,,
-2010,NM,,0.135,3,,
-2010,NV,,-0.108,3,,
-2010,NY,,0.051,29,,
-2010,OH,,-0.102,18,,
-2010,OK,,0.035,5,,
-2010,OR,,0.245,5,,
-2010,PA,,-0.083,19,,
-2010,RI,,0.312,2,,
-2010,SC,,-0.174,6,,
-2010,SD,,-0.476,1,,
-2010,TN,,-0.001,9,,
-2010,TX,,0.047,32,,
-2010,UT,,0.117,3,,
-2010,VA,,-0.133,11,,
-2010,VT,,0.163,1,,
-2010,WA,,0.026,9,,
-2010,WI,,-0.017,8,,
-2010,WV,,-0.059,3,,
-2010,WY,,-0.016,1,,
-2012,AK,yes,-0.118,1,,
-2012,AL,yes,-0.148,7,,
-2012,AR,yes,-0.261,4,,
-2012,AZ,yes,0.147,9,,
-2012,CA,yes,0.010,53,,
-2012,CO,yes,-0.100,7,,
-2012,CT,yes,0.180,5,,
-2012,DE,yes,0.183,1,,
-2012,FL,yes,-0.105,27,,
-2012,GA,yes,-0.069,14,,
-2012,HI,yes,0.151,2,,
-2012,IA,yes,-0.031,4,,
-2012,ID,yes,-0.177,2,,
-2012,IL,yes,0.058,18,,
-2012,IN,yes,-0.194,9,,
-2012,KS,yes,-0.220,4,,
-2012,KY,yes,-0.133,6,,
-2012,LA,yes,-0.131,6,,
-2012,MA,yes,0.135,9,,
-2012,MD,yes,0.066,8,,
-2012,ME,yes,0.267,2,,
-2012,MI,yes,-0.197,14,,
-2012,MN,yes,0.013,8,,
-2012,MO,yes,-0.117,8,,
-2012,MS,yes,-0.135,4,,
-2012,MT,yes,-0.390,1,,
-2012,NC,yes,-0.211,13,,
-2012,ND,yes,-0.363,1,,
-2012,NE,yes,-0.215,3,,
-2012,NH,yes,0.455,2,,
-2012,NJ,yes,-0.112,12,,
-2012,NM,yes,0.064,3,,
-2012,NV,yes,0.004,4,,
-2012,NY,yes,-0.023,27,,
-2012,OH,yes,-0.223,16,,
-2012,OK,yes,-0.148,5,,
-2012,OR,yes,0.151,5,,
-2012,PA,yes,-0.237,18,,
-2012,RI,yes,0.321,2,,
-2012,SC,yes,-0.228,7,,
-2012,SD,yes,-0.351,1,,
-2012,TN,yes,-0.057,9,,
-2012,TX,yes,-0.006,36,,
-2012,UT,yes,0.083,4,,
-2012,VA,yes,-0.208,11,,
-2012,VT,yes,-0.011,1,,
-2012,WA,yes,0.011,10,,
-2012,WI,yes,-0.140,8,,
-2012,WV,yes,0.032,3,,
-2012,WY,yes,-0.014,1,,
-2014,AK,,-0.391,1,,
-2014,AL,,-0.091,7,,
-2014,AR,,-0.272,4,,
-2014,AZ,,0.075,9,,
-2014,CA,,0.097,53,,
-2014,CO,,-0.038,7,,
-2014,CT,,0.281,5,,
-2014,DE,,0.266,1,,
-2014,FL,,-0.038,27,,
-2014,GA,,-0.090,14,,
-2014,HI,,0.176,2,,
-2014,IA,,-0.172,4,,
-2014,ID,,-0.236,2,,
-2014,IL,,0.027,18,,
-2014,IN,,-0.056,9,,
-2014,KS,,-0.231,4,,
-2014,KY,,-0.062,6,,
-2014,LA,,-0.001,6,,
-2014,MA,,0.203,9,,
-2014,MD,,0.212,8,,
-2014,ME,,-0.145,2,,
-2014,MI,,-0.160,14,,
-2014,MN,,0.114,8,,
-2014,MO,,-0.010,8,,
-2014,MS,,-0.051,4,,
-2014,MT,,-0.343,1,,
-2014,NC,,-0.196,13,,
-2014,ND,,-0.319,1,,
-2014,NE,,0.129,3,,
-2014,NH,,-0.031,2,,
-2014,NJ,,-0.026,12,,
-2014,NM,,0.107,3,,
-2014,NV,,-0.066,4,,
-2014,NY,,0.039,27,,
-2014,OH,,-0.082,16,,
-2014,OK,,-0.057,5,,
-2014,OR,,0.157,5,,
-2014,PA,,-0.151,18,,
-2014,RI,,0.278,2,,
-2014,SC,,-0.173,7,,
-2014,SD,,-0.169,1,,
-2014,TN,,0.005,9,,
-2014,TX,,0.056,36,,
-2014,UT,,-0.187,4,,
-2014,VA,,-0.129,11,,
-2014,VT,,0.150,1,,
-2014,WA,,0.015,10,,
-2014,WI,,-0.069,8,,
-2014,WV,,-0.358,3,,
-2014,WY,,-0.001,1,,
-2016,AK,,-0.334,1,,
-2016,AL,,-0.097,7,,
-2016,AR,,-0.140,4,,
-2016,AZ,,0.029,9,,
-2016,CA,,-0.012,53,,
-2016,CO,,-0.062,7,,
-2016,CT,,0.221,5,,
-2016,DE,,0.349,1,,
-2016,FL,yes,-0.029,27,,
-2016,GA,,-0.100,14,,
-2016,HI,,-0.074,2,,
-2016,IA,,-0.191,4,,
-2016,ID,,-0.137,2,,
-2016,IL,,0.018,18,,
-2016,IN,,-0.072,9,,
-2016,KS,,-0.218,4,,
-2016,KY,,-0.032,6,,
-2016,LA,,0.031,6,,
-2016,MA,,0.084,9,,
-2016,MD,,0.116,8,,
-2016,ME,,-0.039,2,,
-2016,MI,,-0.132,14,,
-2016,MN,,0.089,8,,
-2016,MO,,-0.038,8,,
-2016,MS,,-0.035,4,,
-2016,MT,,-0.338,1,,
-2016,NC,yes,-0.203,13,,
-2016,ND,,-0.011,1,,
-2016,NE,,-0.205,3,,
-2016,NH,,0.469,2,,
-2016,NJ,,0.001,12,,
-2016,NM,,0.046,3,,
-2016,NV,,0.240,4,,
-2016,NY,,-0.063,27,,
-2016,OH,,-0.087,16,,
-2016,OK,,-0.079,5,,
-2016,OR,,0.177,5,,
-2016,PA,,-0.189,18,,
-2016,RI,,0.198,2,,
-2016,SC,,-0.154,7,,
-2016,SD,,-0.218,1,,
-2016,TN,,0.017,9,,
-2016,TX,,-0.038,36,,
-2016,UT,,-0.168,4,,
-2016,VA,yes,-0.106,11,,
-2016,VT,,0.058,1,,
-2016,WA,,-0.013,10,,
-2016,WI,,-0.057,8,,
-2016,WV,,-0.171,3,,
-2016,WY,,-0.152,1,,
-2018,AK,,-0.434,1,,
-2018,AL,,-0.155,7,,
-2018,AR,,-0.220,4,,
-2018,AZ,,0.048,9,,
-2018,CA,,0.057,53,,
-2018,CO,,-0.037,7,,
-2018,CT,,0.253,5,,
-2018,DE,,0.211,1,,
-2018,FL,,-0.014,27,,
-2018,GA,,-0.112,14,,
-2018,HI,,-0.034,2,,
-2018,IA,,0.209,4,,
-2018,ID,,-0.221,2,,
-2018,IL,,0.000,18,,
-2018,IN,,-0.168,9,,
-2018,KS,,-0.154,4,,
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-2018,PA,yes,-0.080,18,,
-2018,RI,,0.197,2,,
-2018,SC,,-0.114,7,,
-2018,SD,,-0.248,1,,
-2018,TN,,-0.074,9,,
-2018,TX,,-0.080,36,,
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-2026,AK,,-0.476,1,,
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-2026,CO,,-0.121,8,,
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-2026,MO,yes,-0.161,8,https://planscore.org/plan.html?20251116T014919.269577678Z,"[[1.0,0.8,310718],[0.048,0.433,415798],[0.004,0.389,400723],[0.001,0.381,391097],[0.005,0.399,327699],[0.0,0.353,371821],[0.0,0.269,370939],[0.0,0.209,363791]]"
-2026,MS,yes,0.007,4,https://planscore.org/plan.html?20251228T184417.650378800Z,"[[0.0,0.283,319751],[1.0,0.644,283691],[0.0,0.324,320273],[0.0,0.255,290696]]"
-2026,MT,,-0.308,2,,
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-2026,ND,,-0.110,1,,
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-2026,OH,yes,-0.15,15,https://planscore.org/plan.html?20251030T231915.464256903Z,"[[0.213,0.469,393485],[0.0,0.248,373151],[1.0,0.709,354655],[0.0,0.245,392876],[0.0,0.353,383974],[0.0,0.29,362582],[0.025,0.422,422478],[0.006,0.395,398786],[0.036,0.426,377567],[0.066,0.441,375479],[1.0,0.791,318228],[0.0,0.317,406615],[0.506,0.502,386792],[0.001,0.369,410013],[0.03,0.426,357133]]"
-2026,OK,,-0.118,5,,
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-2026,TX,yes,-0.131,38,https://planscore.org/plan.html?20251219T184700.037794076Z,"[[0.0,0.231,322789],[0.0,0.374,324879],[0.0,0.363,360471],[0.0,0.358,359800],[0.0,0.376,289675],[0.0,0.367,305093],[1.0,0.647,243178],[0.0,0.371,307201],[0.009,0.423,206561],[0.0,0.385,348072],[0.0,0.308,288718],[0.0,0.363,310418],[0.0,0.245,300574],[0.0,0.339,319160],[0.001,0.395,225827],[0.999,0.603,228701],[0.0,0.377,315012],[1.0,0.8,256659],[0.0,0.234,279570],[1.0,0.667,223891],[0.002,0.389,409493],[0.001,0.395,335361],[0.005,0.408,312690],[0.003,0.404,366050],[0.0,0.363,305656],[0.0,0.363,382101],[0.001,0.375,319985],[0.157,0.465,197404],[1.0,0.679,177312],[1.0,0.75,240014],[0.0,0.37,346093],[0.007,0.412,316848],[1.0,0.69,204530],[0.153,0.466,238229],[0.057,0.447,298179],[0.0,0.313,297228],[1.0,0.813,320120],[0.001,0.395,344997]]"
-2026,UT,yes,-0.022,4,https://planscore.org/plan.html?20260110T175512.890920068Z,"[[0.944,0.559,317805],[0.0,0.35,356976],[0.0,0.3,376228],[0.0,0.336,393802]]"
-2026,VA,,0.007,11,,
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+predict11R,KY,,0.093,6,https://planscore.org/plan.html?20260118T040914.527668742Z
+predict11R,LA,,0.175,6,https://planscore.org/plan.html?20260118T040951.484855708Z
+predict11R,MA,,0.12,9,https://planscore.org/plan.html?20260118T041028.585124120Z
+predict11R,MD,,0.02,8,https://planscore.org/plan.html?20260118T041100.452016591Z
+predict11R,ME,,-0.079,2,https://planscore.org/plan.html?20260118T041137.540713252Z
+predict11R,MI,,-0.034,13,https://planscore.org/plan.html?20260118T041207.663884529Z
+predict11R,MN,,-0.011,8,https://planscore.org/plan.html?20260118T041244.623422026Z
+predict11R,MO,yes,0.033,8,https://planscore.org/plan.html?20260118T030547.581530491Z
+predict11R,MS,yes,0.14,4,https://planscore.org/plan.html?20260118T030740.517657323Z
+predict11R,MT,,-0.066,2,https://planscore.org/plan.html?20260118T041328.044013426Z
+predict11R,NC,yes,-0.026,14,https://planscore.org/plan.html?20260117T234155.737098406Z
+predict11R,ND,,0.095,1,https://planscore.org/plan.html?20260118T041400.957965735Z
+predict11R,NE,,-0.043,3,https://planscore.org/plan.html?20260118T041431.332562284Z
+predict11R,NH,,-0.31,2,https://planscore.org/plan.html?20260118T041503.288872506Z
+predict11R,NJ,,-0.08,12,https://planscore.org/plan.html?20260118T041534.676170510Z
+predict11R,NM,,-0.302,3,https://planscore.org/plan.html?20260118T041613.465222509Z
+predict11R,NV,,-0.234,4,https://planscore.org/plan.html?20260118T041648.260612841Z
+predict11R,NY,,0.009,26,https://planscore.org/plan.html?20260118T041717.708714964Z
+predict11R,OH,yes,0.003,15,https://planscore.org/plan.html?20260118T030637.728645134Z
+predict11R,OK,,0.081,5,https://planscore.org/plan.html?20260118T041820.320935491Z
+predict11R,OR,,-0.06,6,https://planscore.org/plan.html?20260118T041859.104920591Z
+predict11R,PA,,-0.039,17,https://planscore.org/plan.html?20260118T041926.696907657Z
+predict11R,RI,,-0.175,2,https://planscore.org/plan.html?20260118T042028.013638065Z
+predict11R,SC,,0.013,7,https://planscore.org/plan.html?20260118T042105.327905569Z
+predict11R,SD,,0.033,1,https://planscore.org/plan.html?20260118T042143.323678701Z
+predict11R,TN,,0.127,9,https://planscore.org/plan.html?20260118T042218.576620605Z
+predict11R,TX,yes,0.044,38,https://planscore.org/plan.html?20260118T030331.738486725Z
+predict11R,UT,yes,-0.037,4,https://planscore.org/plan.html?20260117T234245.926777968Z
+predict11R,VA,,0.035,11,https://planscore.org/plan.html?20260117T234311.872389943Z
+predict11R,VT,,0.336,1,https://planscore.org/plan.html?20260118T042304.157670968Z
+predict11R,WA,,-0.064,10,https://planscore.org/plan.html?20260118T042330.154456226Z
+predict11R,WI,,0.013,8,https://planscore.org/plan.html?20260118T042408.294582047Z
+predict11R,WV,,0.052,2,https://planscore.org/plan.html?20260118T042445.089231696Z
+predict11R,WY,,0.149,1,https://planscore.org/plan.html?20260118T042515.184891291Z
+predict12R,AK,,-0.096,1,https://planscore.org/plan.html?20260118T040019.310184411Z
+predict12R,AL,,0.095,7,https://planscore.org/plan.html?20260118T040044.821039581Z
+predict12R,AR,,0.057,4,https://planscore.org/plan.html?20260118T040123.213655040Z
+predict12R,AZ,,-0.015,9,https://planscore.org/plan.html?20260118T040200.604178604Z
+predict12R,CA,yes,-0.094,52,https://planscore.org/plan.html?20260118T030200.294312663Z
+predict12R,CO,,-0.072,8,https://planscore.org/plan.html?20260118T040245.237458155Z
+predict12R,CT,,-0.152,5,https://planscore.org/plan.html?20260118T040314.156420683Z
+predict12R,DE,,-0.27,1,https://planscore.org/plan.html?20260118T040351.735463511Z
+predict12R,FL,,-0.021,28,https://planscore.org/plan.html?20260118T040418.983375145Z
+predict12R,GA,,0.058,14,https://planscore.org/plan.html?20260118T040520.090886440Z
+predict12R,HI,,0.289,2,https://planscore.org/plan.html?20260118T040624.269691276Z
+predict12R,IA,,-0.121,4,https://planscore.org/plan.html?20260118T040659.728963966Z
+predict12R,ID,,0.065,2,https://planscore.org/plan.html?20260118T040728.969555831Z
+predict12R,IL,,0.039,17,https://planscore.org/plan.html?20260117T234106.397562328Z
+predict12R,IN,,0.044,9,https://planscore.org/plan.html?20260118T040807.412859484Z
+predict12R,KS,,-0.098,4,https://planscore.org/plan.html?20260118T040835.007351879Z
+predict12R,KY,,0.086,6,https://planscore.org/plan.html?20260118T040914.286566895Z
+predict12R,LA,,0.168,6,https://planscore.org/plan.html?20260118T040951.799177570Z
+predict12R,MA,,0.061,9,https://planscore.org/plan.html?20260118T041028.667324188Z
+predict12R,MD,,0.004,8,https://planscore.org/plan.html?20260118T041059.353145039Z
+predict12R,ME,,-0.124,2,https://planscore.org/plan.html?20260118T041137.847342023Z
+predict12R,MI,,-0.032,13,https://planscore.org/plan.html?20260118T041206.530046382Z
+predict12R,MN,,-0.015,8,https://planscore.org/plan.html?20260118T041242.292003565Z
+predict12R,MO,yes,0.051,8,https://planscore.org/plan.html?20260118T030547.292371665Z
+predict12R,MS,yes,0.127,4,https://planscore.org/plan.html?20260118T030740.058286956Z
+predict12R,MT,,-0.048,2,https://planscore.org/plan.html?20260118T041328.917578563Z
+predict12R,NC,yes,-0.007,14,https://planscore.org/plan.html?20260117T234155.082537795Z
+predict12R,ND,,0.109,1,https://planscore.org/plan.html?20260118T041400.361668915Z
+predict12R,NE,,-0.025,3,https://planscore.org/plan.html?20260118T041431.691840032Z
+predict12R,NH,,-0.29,2,https://planscore.org/plan.html?20260118T041503.791399459Z
+predict12R,NJ,,-0.087,12,https://planscore.org/plan.html?20260118T041534.465000834Z
+predict12R,NM,,-0.308,3,https://planscore.org/plan.html?20260118T041612.554843751Z
+predict12R,NV,,-0.215,4,https://planscore.org/plan.html?20260118T041644.819366599Z
+predict12R,NY,,0.013,26,https://planscore.org/plan.html?20260118T041717.941974102Z
+predict12R,OH,yes,0.021,15,https://planscore.org/plan.html?20260118T030637.946673077Z
+predict12R,OK,,0.096,5,https://planscore.org/plan.html?20260118T041820.115124171Z
+predict12R,OR,,-0.046,6,https://planscore.org/plan.html?20260118T041859.597906063Z
+predict12R,PA,,-0.043,17,https://planscore.org/plan.html?20260118T041926.547458765Z
+predict12R,RI,,-0.221,2,https://planscore.org/plan.html?20260118T042028.701145029Z
+predict12R,SC,,0.011,7,https://planscore.org/plan.html?20260118T042105.045648676Z
+predict12R,SD,,0.049,1,https://planscore.org/plan.html?20260118T042143.164296386Z
+predict12R,TN,,0.143,9,https://planscore.org/plan.html?20260118T042215.434015687Z
+predict12R,TX,yes,0.054,38,https://planscore.org/plan.html?20260118T030331.720171855Z
+predict12R,UT,yes,-0.024,4,https://planscore.org/plan.html?20260117T234245.745755577Z
+predict12R,VA,,0.039,11,https://planscore.org/plan.html?20260117T234311.522115761Z
+predict12R,VT,,0.329,1,https://planscore.org/plan.html?20260118T042304.427024200Z
+predict12R,WA,,-0.088,10,https://planscore.org/plan.html?20260118T042330.111687049Z
+predict12R,WI,,0.032,8,https://planscore.org/plan.html?20260118T042408.474780834Z
+predict12R,WV,,0.069,2,https://planscore.org/plan.html?20260118T042440.718997303Z
+predict12R,WY,,0.163,1,https://planscore.org/plan.html?20260118T042514.557677505Z
diff --git a/index.js6 b/index.js6
index 771e7519..ec1b0d86 100644
--- a/index.js6
+++ b/index.js6
@@ -30,6 +30,18 @@ const ANIMATION = {
     timer: undefined,  // if playing, an interval handle from setInterval(); else undefined
 };
 
+// prediction slider state; see initPredictionSlider()
+const PREDICTION_SLIDER = {
+    isDragging: false,
+    initialized: false,
+    minX: null,      // set during initialization from DOM
+    maxX: null,      // set during initialization from DOM
+    centerY: null,   // set during initialization from DOM
+    minValue: -12,   // R+12 (right side)
+    maxValue: 12,    // D+12 (left side)
+    currentValue: 0, // default: no-swing (center)
+};
+
 // the map uses a choropleth constructed from BELLCURVE_SPREAD
 // but for nodata states, use this NODATA value and this color fill
 const MAP_NODATA_VALUE = 999999;
@@ -157,7 +169,13 @@ window.initYearPickers = () => {
     // attach to all year elements in both timeline and future
     $('#yearpicker-timeline a[id^="yearpicker-"], #yearpicker-future a[id^="yearpicker-"]', $picker_big).on('click', function () {
         const elementId = $(this).attr('id');
-        const year = elementId.replace('yearpicker-', '');
+        let year = elementId.replace('yearpicker-', '');
+
+        // When clicking on predict, use the current slider value to determine the year
+        if (year === 'predict') {
+            year = getPredictionYearString(PREDICTION_SLIDER.currentValue);
+        }
+
         selectYear(year);
         logToGoogleAnalytics('yearselected', year);
     });
@@ -168,6 +186,142 @@ window.initYearPickers = () => {
     });
 };
 
+window.initPredictionSlider = () => {
+    // lazy initialization: only set up once when predict mode is first activated
+    if (PREDICTION_SLIDER.initialized) return;
+    PREDICTION_SLIDER.initialized = true;
+
+    const $thumb = $('#yearpicker-predict-thumb');
+    const $circle = $thumb.find('circle');
+    const $label = $thumb.find('text');
+    const $slider = $('#yearpicker-predict-slider');
+
+    // read slider dimensions from DOM
+    const sliderX = parseFloat($slider.attr('x'));
+    const sliderWidth = parseFloat($slider.attr('width'));
+    const sliderY = parseFloat($slider.attr('y'));
+    const sliderHeight = parseFloat($slider.attr('height'));
+    const circleRadius = parseFloat($circle.attr('r'));
+
+    // calculate bounds with 1px clearance for circle
+    PREDICTION_SLIDER.minX = sliderX + circleRadius + 1;
+    PREDICTION_SLIDER.maxX = sliderX + sliderWidth - circleRadius - 1;
+    PREDICTION_SLIDER.centerY = sliderY + (sliderHeight / 2);
+
+    // original position of thumb in SVG (read from group's transform)
+    const transformAttr = $thumb.attr('transform');
+    const transformMatch = transformAttr ? transformAttr.match(/translate\(([^,]+)/) : null;
+    const originalX = transformMatch ? parseFloat(transformMatch[1]) : 0;
+    const originalY = parseFloat($circle.attr('cy'));
+
+    // helper: convert slider position (x coordinate) to prediction value
+    // reversed: left = D (positive), right = R (negative)
+    const positionToValue = (x) => {
+        const fraction = (x - PREDICTION_SLIDER.minX) / (PREDICTION_SLIDER.maxX - PREDICTION_SLIDER.minX);
+        return Math.round(PREDICTION_SLIDER.maxValue - fraction * (PREDICTION_SLIDER.maxValue - PREDICTION_SLIDER.minValue));
+    };
+
+    // helper: convert prediction value to slider position (x coordinate)
+    // reversed: left = D (positive), right = R (negative)
+    const valueToPosition = (value) => {
+        const fraction = (PREDICTION_SLIDER.maxValue - value) / (PREDICTION_SLIDER.maxValue - PREDICTION_SLIDER.minValue);
+        return PREDICTION_SLIDER.minX + fraction * (PREDICTION_SLIDER.maxX - PREDICTION_SLIDER.minX);
+    };
+
+    // helper: update thumb position and label using matrix transform
+    const updateThumb = (x, skipYearUpdate = false) => {
+        // constrain x to slider bounds
+        const constrainedX = Math.max(PREDICTION_SLIDER.minX, Math.min(PREDICTION_SLIDER.maxX, x));
+        const value = positionToValue(constrainedX);
+
+        PREDICTION_SLIDER.currentValue = value;
+
+        // x is the desired absolute position, use it directly as translation
+        // (since circle is at cx="0" in the group, translation = absolute position)
+        const translateX = constrainedX;
+
+        // apply matrix transform to move entire group
+        $thumb.attr('transform', `translate(${translateX}, 0)`);
+
+        // update label text
+        $label.text(formatSwingValue(value));
+
+        // update the year state to match slider position
+        if (!skipYearUpdate) {
+            const predictionYear = getPredictionYearString(value);
+            // Update the year, hash, and reload data to show the new prediction scenario
+            if (CURRENT_VIEW.year !== predictionYear) {
+                CURRENT_VIEW.year = predictionYear;
+                updateAddressHash();
+                loadDataForSelectedBoundaryAndYear();
+            }
+        }
+    };
+
+    // prevent thumb click from triggering parent link
+    $thumb.on('click', function (event) {
+        event.preventDefault();
+        event.stopPropagation();
+    });
+
+    // click on slider: move thumb to clicked position
+    $slider.on('click', function (event) {
+        event.preventDefault();
+        event.stopPropagation();
+
+        // get mouse position relative to the SVG
+        const svg = $('#yearpicker-future')[0];
+        const pt = svg.createSVGPoint();
+        pt.x = event.clientX;
+        pt.y = event.clientY;
+        const svgP = pt.matrixTransform(svg.getScreenCTM().inverse());
+
+        updateThumb(svgP.x);
+    });
+
+    // mousedown on thumb: start dragging
+    $thumb.on('mousedown', function (event) {
+        event.preventDefault();
+        event.stopPropagation();
+        PREDICTION_SLIDER.isDragging = true;
+        $thumb.css('cursor', 'grabbing');
+    });
+
+    // mousemove on document: update position if dragging
+    $(document).on('mousemove.predictionslider', function (event) {
+        if (!PREDICTION_SLIDER.isDragging) return;
+
+        // get mouse position relative to the SVG
+        const svg = $('#yearpicker-future')[0];
+        const pt = svg.createSVGPoint();
+        pt.x = event.clientX;
+        pt.y = event.clientY;
+        const svgP = pt.matrixTransform(svg.getScreenCTM().inverse());
+
+        updateThumb(svgP.x);
+    });
+
+    // mouseup on document: stop dragging
+    $(document).on('mouseup.predictionslider', function () {
+        if (PREDICTION_SLIDER.isDragging) {
+            PREDICTION_SLIDER.isDragging = false;
+            $thumb.css('cursor', 'pointer');
+        }
+    });
+
+    // initialize thumb to current value
+    const initialPosition = valueToPosition(PREDICTION_SLIDER.currentValue);
+    updateThumb(initialPosition, true);
+
+    // After initialization, update the year state to match the slider position
+    // This ensures CURRENT_VIEW.year and the hash are correct
+    const predictionYear = getPredictionYearString(PREDICTION_SLIDER.currentValue);
+    if (CURRENT_VIEW.year !== predictionYear) {
+        CURRENT_VIEW.year = predictionYear;
+        updateAddressHash();
+    }
+};
+
 window.initBoundaryPicker = () => {
     $('#boundarypicker div[data-boundary]').click(function () {
         const boundarytype = $(this).attr('data-boundary');
@@ -182,17 +336,45 @@ window.initLoadStartingConditions = () => {
     let year = PLAN_YEARS[PLAN_YEARS.length - 1];
     let type = 'ushouse';
 
-    const year_and_type = /^#!(\d\d\d\d)\-(\w+)$/.exec(window.location.hash);
+    // Match: predict, predict0, predict12D, predict12R, or 4-digit years
+    const year_and_type = /^#!(predict(?:\d+[DR]|\d+)?|\d\d\d\d)\-(\w+)$/.exec(window.location.hash);
     if (year_and_type) {
         year = year_and_type[1];
         type = year_and_type[2];
     }
 
+    // If we have a prediction year from the URL, parse it and set the slider value
+    if (isPredictionYear(year)) {
+        PREDICTION_SLIDER.currentValue = parseSwingSlug(year);
+    }
+
     // ready, set, go
     selectYear(year);
     selectBoundaryType(type);
 };
 
+window.parseSwingSlug = (slug) => {
+    const match = slug.match(/predict(\d+)?([DR])?/);
+    if (match) {
+        const value = match[1] ? parseInt(match[1]) : 0;
+        const party = match[2];  // 'D', 'R', or undefined
+        if (party === 'R') {
+            return -value;
+        } else if (party === 'D') {
+            return value;
+        } else {
+            return 0;
+        }
+    }
+
+    return undefined;
+};
+
+window.formatSwingValue = (value) => {
+    if (value === 0) return 'No-Swing';
+    return value > 0 ? `+${value}D` : `+${Math.abs(value)}R`;
+};
+
 window.handleResize = () => {
     // various things that don't gracefully handle being resized, so we need to help them out
 
@@ -208,6 +390,21 @@ window.handleResize = () => {
 // loadDataForSelectedBoundaryAndYear() is the real worker here; the others are basically convenience functions
 //
 
+// Helper: Convert prediction slider value to year string
+// value: -12 to +12 (negative = R, positive = D, 0 = No swing)
+// returns: "predict0", "predict12D", "predict12R", etc.
+window.getPredictionYearString = (value) => {
+    if (value === 0) return 'predict0';
+    if (value > 0) return `predict${value}D`;
+    return `predict${Math.abs(value)}R`;
+};
+
+// Helper: Check if a year string is a prediction year
+// returns: true for "predict", "predict0", "predict5D", "predict12R", etc.
+window.isPredictionYear = (year) => {
+    return String(year).startsWith('predict');
+};
+
 window.loadDataForSelectedBoundaryAndYear = (options={}) => {
     if (! CURRENT_VIEW.year || ! CURRENT_VIEW.boundtype) return;  // need both; during startup one will be blank, so avoid an error
 
@@ -239,7 +436,11 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
             // primarily used when switching district types, as not all district types have the same coverage for every year (e.g. State House 2016)
             if (options.fudgeYearIfNoData) {
                 const yearColumn = CURRENT_VIEW.boundtype === 'ushouse' ? 'cycle' : 'year';
-                const hasdata = results.data.filter((datarow) => { return datarow[yearColumn] == CURRENT_VIEW.year; }).length;
+                // For predict years in non-ushouse boundaries, default to 2026 since predictions are ushouse-only
+                const yearToCheck = (isPredictionYear(CURRENT_VIEW.year) && CURRENT_VIEW.boundtype !== 'ushouse')
+                    ? 2026
+                    : CURRENT_VIEW.year;
+                const hasdata = results.data.filter((datarow) => { return datarow[yearColumn] == yearToCheck; }).length;
                 if (! hasdata) {
                     const wehavetheseyears = results.data.map((datarow) => {
                         return datarow[yearColumn] ? parseInt(datarow[yearColumn]) : 0;  // workaround for 176, iOS 11 including blank rows so year=NaN
@@ -282,6 +483,7 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
                 const seatBiases = {};
                 const stateAreas = {};
                 const rawScales = {};
+                const realScales = {};
                 results.data.forEach(function (datarow) {
                     const value = parseFloat(datarow.EG);
                     const seats = parseInt(datarow.seats);
@@ -295,12 +497,16 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
                     const $shape = $(`#state-shape-${datarow.stateabrev}`);
                     const stateArea = parseFloat($shape.attr('data-area')) || 1;
 
-                    // Dimensionless raw scale that we'll adjust later
-                    rawScales[`${datarow.stateabrev}-${datarow.cycle}`] = Math.sqrt(seatBias * 1e11 / stateArea);
+                    // Dimensionless raw scales that we'll adjust later
+                    var rawScale = Math.sqrt(seatBias * 1e11 / stateArea);
+                    rawScales[`${datarow.stateabrev}-${datarow.cycle}`] = rawScale;
+                    if (datarow.cycle.match(/^(19|20)\d\d$/)) {
+                        realScales[`${datarow.stateabrev}-${datarow.cycle}`] = rawScale;
+                    }
                 });
 
-                // Find the P10 and P90 raw scales to guide visual range
-                const scalesList = Object.values(rawScales).sort(function (a, b) { return a - b });
+                // Find the P10 and P90 real scales to guide visual range
+                const scalesList = Object.values(realScales).sort(function (a, b) { return a - b });
                 const p90RawScale = scalesList[Math.round(scalesList.length * 0.9)];
                 const p10RawScale = scalesList[Math.round(scalesList.length * 0.1)];
                 console.log(`p10RawScale ${p10RawScale.toFixed(2)}, p90RawScale ${p90RawScale.toFixed(2)}`);
@@ -344,7 +550,8 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
             // this is loop-within-loop as we match arrays to arrays, but P=50 and Q=20ish so it's affordable
             results.data.forEach(function (datarow) {
                 // Boolean flag for mid-cycle redistricting on this plan
-                const midCycleplan = (datarow.newplan == "yes") && (CURRENT_VIEW.year % 10 != 2);
+                const numericYear = isPredictionYear(CURRENT_VIEW.year) ? 2026 : CURRENT_VIEW.year;
+                const midCycleplan = (datarow.newplan == "yes") && (numericYear % 10 != 2);
 
                 // For ushouse, use different column names
                 if (CURRENT_VIEW.boundtype === 'ushouse') {
@@ -355,7 +562,6 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
                     chartrow.seats = parseInt(datarow.seats);
                     chartrow.percentrank = null;
                     chartrow.url = datarow.url;
-                    chartrow.districts = datarow.districts ? JSON.parse(datarow.districts) : undefined;
                     chartrow.stateScale = datarow.stateScale;
                     chartrow.midcyclePlan = midCycleplan;
                 } else {
@@ -383,7 +589,7 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
     });
 
     function updateTooltipContent(stateInfo) {
-        const isPrediction = (CURRENT_VIEW.year == 2026) && stateInfo.url;
+        const isPrediction = (CURRENT_VIEW.year == 2026 || isPredictionYear(CURRENT_VIEW.year)) && stateInfo.url;
 
         // Update tooltip content with state data
         $('#state-tooltip .state-name').text(stateInfo.name);
@@ -404,8 +610,14 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
         const stateslug = stateInfo.name.toLowerCase().replace(/\W/g, '_');
         const currview = CURRENT_VIEW.boundtype;
         const moreinfourl = stateInfo.url ? stateInfo.url : `/${stateslug}/#!${CURRENT_VIEW.year}-${plan_or_election}-${currview}`;
-        const curryear = isPrediction ? '2024+Remaps<sup>*</sup>' : (CURRENT_VIEW.year == 2026 ? 2024 : CURRENT_VIEW.year);
-        const linkHtml = `(${curryear} Plan)`;
+        var linkHtml = `${CURRENT_VIEW.year} Plan`;
+        if (isPredictionYear(CURRENT_VIEW.year)) {
+            linkHtml = `${formatSwingValue(parseSwingSlug(CURRENT_VIEW.year))} Prediction`;
+        } else if (isPrediction) {
+            linkHtml = '2024+Remaps<sup>*</sup> Plan';
+        } else if (CURRENT_VIEW.year == 2026) {
+            linkHtml = '2024 Plan';
+        }
         $('#state-tooltip .link').attr('href', moreinfourl).html(linkHtml);
 
         // Show/hide link based on data and seat count
@@ -443,8 +655,15 @@ window.loadDataForSelectedBoundaryAndYear = (options={}) => {
             const biasEval = lookupBias('eg', nationalEG, CURRENT_VIEW.boundtype);
             const absBiasPercent = twoDigits(Math.abs(100 * nationalEG));
             const absBiasSeats = twoDigits(Math.abs(nationalEG * totalSeats));
-            const currYear = CURRENT_VIEW.year == 2026 ? '2024+Remaps<sup>*</sup>' : CURRENT_VIEW.year;
-            const turnoutNote = CURRENT_VIEW.year == 2026 ? '<sup>†</sup>' : '';
+            var currYear = CURRENT_VIEW.year;
+            var turnoutNote = '';
+            if (isPredictionYear(CURRENT_VIEW.year)) {
+                currYear = `${formatSwingValue(parseSwingSlug(CURRENT_VIEW.year))} Predictions`;
+                turnoutNote = '<sup>†</sup>';
+            } else if(CURRENT_VIEW.year == 2026) {
+                currYear = '2024+Remaps<sup>*</sup>';
+                turnoutNote = '<sup>†</sup>';
+            }
             $('#ushouse-legend .swatch').css({ 'background': biasEval.color });
             $('#ushouse-legend .caption').html(`Total ${currYear} Bias:`);
             $('#ushouse-legend .bias').html(`${absBiasPercent}% (${absBiasSeats} seats)${turnoutNote} pro-${biasEval.party}`);
@@ -797,16 +1016,26 @@ window.selectYear = (year, options={}) => {
     // remove active class from all years and add to the selected one
     const $picker_big = $('#yearpicker-big');
     $('#yearpicker-timeline a[id^="yearpicker-"], #yearpicker-future a[id^="yearpicker-"]', $picker_big).removeClass('active');
-    $(`#yearpicker-${year}`, $picker_big).addClass('active');
+    // For prediction years, activate the "predict" element
+    const yearForPicker = isPredictionYear(year) ? 'predict' : year;
+    $(`#yearpicker-${yearForPicker}`, $picker_big).addClass('active');
+
+    // save to the state BEFORE initializing slider (slider init needs this to be set)
+    CURRENT_VIEW.year = year;
 
     // UI update: yearpicker-current indicator position and text
     // move the current year indicator to match the selected year's position
     // but hide it if year 2026 is selected (which is in the yearpicker-future SVG)
     const $current = $('#yearpicker-current', $picker_big);
 
-    if (year == 2026) {
-        // year 2026 is in yearpicker-future, so hide the current indicator
+    if (year == 2026 || isPredictionYear(year)) {
+        // years past 2024 are in yearpicker-future, so hide the current indicator
         $current.hide();
+
+        // initialize prediction slider when predict mode is activated
+        if (isPredictionYear(year)) {
+            initPredictionSlider();
+        }
     } else {
         // show the indicator and position it at the selected year
         $current.show();
@@ -828,9 +1057,6 @@ window.selectYear = (year, options={}) => {
         }
     }
 
-    // save to the state and refresh the map + data
-    CURRENT_VIEW.year = year;
-
     loadDataForSelectedBoundaryAndYear(options);  // no new options nor overrides; just pass options as-given
 };
 
diff --git a/index.scss b/index.scss
index ba2f8ba9..eeec760d 100644
--- a/index.scss
+++ b/index.scss
@@ -291,7 +291,13 @@ body.ushouse-selected {
       }
       a.unavailable
       {
-          display: none;
+          cursor: not-allowed;
+          path, circle {
+            stroke: #999;
+          }
+          text {
+            fill: #999;
+          }
       }
       a .hitarea {
           fill: rgba(0, 0, 0, 0);
@@ -320,14 +326,38 @@ body.ushouse-selected {
     }
 
     #yearpicker-future {
+      a.active {
+        cursor: inherit;
+      }
       a.active text {
         fill: white;
       }
-      a .background {
-        visibility: hidden;
+      a {
+        .background, #yearpicker-predict-voteswing {
+          visibility: hidden;
+        }
+      }
+      a.active {
+        .background, #yearpicker-predict-voteswing {
+          visibility: visible;
+        }
       }
-      a.active .background {
-        visibility: visible;
+      #yearpicker-predict-voteswing {
+        text {
+          font-size: 10px;
+          text-anchor: middle;
+        }
+        #yearpicker-predict-slider {
+          fill: white;
+          cursor: pointer;
+        }
+        #yearpicker-predict-thumb {
+          cursor: pointer;
+          circle {
+            fill: black;
+            stroke: none;
+          }
+        }
       }
     }
 }
diff --git a/index.src.html b/index.src.html
index 7e61b906..4425c9f7 100644
--- a/index.src.html
+++ b/index.src.html
@@ -490,16 +490,8 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
         <a id="yearpicker-2024"><rect class="hitarea" x="96.85%" y="20" width="3.70%" height="24" /><circle cx="98.70%" cy="32" r="4" /></a>
       </svg>
       <svg id="yearpicker-future" version="1.1" xmlns="http://www.w3.org/2000/svg" width="100%" height="100">
-        <!-- Bottom path -->
-        <a class="unavailable">
-            <path d="M 0 32 C 16 32, 16 36, 32 36 L 36 36" />
-            <rect class="hitarea" x="20" y="28" width="130" height="50" />
-            <circle cx="36" cy="36" r="4" />
-            <text x="46" y="40">2026 Predictions</text>
-        </a>
-
         <!-- Top path -->
-        <a class="unavailable">
+        <a id="yearpicker-2026">
             <path d="M 0 32 C 16 32, 16 16, 32 16 L 36 16" />
             <rect class="background" x="42" y="8" width="106" height="16" rx="2" />
             <rect class="hitarea" x="20" y="8" width="130" height="20" />
@@ -507,13 +499,22 @@ <h2 class="subtitle">Evaluate their fairness.</h2>
             <text x="46" y="20">2024 + Remaps*</text>
         </a>
 
-        <!-- Sole path, for now -->
-        <a id="yearpicker-2026">
-            <path d="M 0 32 L 18 32" />
-            <rect class="background" x="24" y="24" width="106" height="16" rx="2" />
-            <rect class="hitarea" x="2" y="24" width="130" height="20" />
-            <circle cx="18" cy="32" r="4" />
-            <text x="28" y="36">2024 + Remaps*</text>
+        <!-- Bottom path -->
+        <a id="yearpicker-predict">
+            <path d="M 0 32 C 16 32, 16 36, 32 36 L 36 36" />
+            <rect class="background" x="42" y="26" width="108" height="66" rx="2" />
+            <rect class="hitarea" x="20" y="27" width="130" height="52" />
+            <circle cx="36" cy="36" r="4" />
+            <text x="46" y="40">2026 Predictions</text>
+            <g id="yearpicker-predict-voteswing">
+                <rect id="yearpicker-predict-slider" x="56" y="60" width="80" rx="5" height="12" />
+                <g id="yearpicker-predict-thumb" transform="translate(96, 0)">
+                    <rect class="hitarea" x="-16" y="38" width="32" height="30" />
+                    <circle cx="0" cy="66" r="5" />
+                    <text x="0" y="55">Even</text>
+                </g>
+                <text x="96" y="85">Drag to swing vote</text>
+            </g>
         </a>
       </svg>
     </div>
diff --git a/update-ushouse-data-files.py b/update-ushouse-data-files.py
new file mode 100755
index 00000000..fdccb501
--- /dev/null
+++ b/update-ushouse-data-files.py
@@ -0,0 +1,306 @@
+#!/usr/bin/env python3
+import argparse
+import concurrent.futures
+import csv
+import dataclasses
+import json
+import logging
+import operator
+import re
+import sys
+import typing
+import urllib.request
+
+import oauth2client.service_account
+import googleapiclient.discovery
+
+@dataclasses.dataclass
+class Election:
+    cycle: str
+    stateabrev: str
+    newplan: str
+    EG: float
+    seats: int
+    url: str
+
+@dataclasses.dataclass
+class District:
+    dem_wins: float
+    dem_share: float
+    total_votes: int
+
+@dataclasses.dataclass
+class GdocsStates:
+    states: dict
+    service: typing.Any
+
+PLAN_URL_PAT = re.compile(r"^https://(?P<stack>dev.)?planscore.org/plan.html\?(?P<id>[\.\w]+)$")
+INDEX_URL_FMT = "https://{bucket}.s3.amazonaws.com/uploads/{id}/index.json"
+STACK_BUCKETS = {None: "planscore", "dev.": "planscore--dev"}
+ELECTION_FIELDS = tuple(f.name for f in dataclasses.fields(Election))
+
+SPREADSHEET_ID = '1rcYOxrr_bqkQWggCeP8W6eYkofl9_Zk0deHv62ilE8Y'
+
+STATE_ABBREVS = {
+    'Alabama': 'AL', 'Alaska': 'AK', 'Arizona': 'AZ', 'Arkansas': 'AR', 'California': 'CA',
+    'Colorado': 'CO', 'Connecticut': 'CT', 'Delaware': 'DE', 'Florida': 'FL', 'Georgia': 'GA',
+    'Hawaii': 'HI', 'Idaho': 'ID', 'Illinois': 'IL', 'Indiana': 'IN', 'Iowa': 'IA',
+    'Kansas': 'KS', 'Kentucky': 'KY', 'Louisiana': 'LA', 'Maine': 'ME', 'Maryland': 'MD',
+    'Massachusetts': 'MA', 'Michigan': 'MI', 'Minnesota': 'MN', 'Mississippi': 'MS',
+    'Missouri': 'MO', 'Montana': 'MT', 'Nebraska': 'NE', 'Nevada': 'NV', 'New Hampshire': 'NH',
+    'New Jersey': 'NJ', 'New Mexico': 'NM', 'New York': 'NY', 'North Carolina': 'NC',
+    'North Dakota': 'ND', 'Ohio': 'OH', 'Oklahoma': 'OK', 'Oregon': 'OR', 'Pennsylvania': 'PA',
+    'Rhode Island': 'RI', 'South Carolina': 'SC', 'South Dakota': 'SD', 'Tennessee': 'TN',
+    'Texas': 'TX', 'Utah': 'UT', 'Vermont': 'VT', 'Virginia': 'VA', 'Washington': 'WA',
+    'West Virginia': 'WV', 'Wisconsin': 'WI', 'Wyoming': 'WY'
+}
+
+logging.basicConfig(level=logging.DEBUG, stream=sys.stderr)
+
+def load_google_states(credentials_file: str) -> GdocsStates:
+    """Load states data from Google Sheets"""
+    scope = ['https://www.googleapis.com/auth/spreadsheets']
+    credentials = oauth2client.service_account.ServiceAccountCredentials.from_json_keyfile_name(
+        credentials_file, scope
+    )
+    service = googleapiclient.discovery.build('sheets', 'v4', credentials=credentials)
+
+    result = service.spreadsheets().values().get(
+        spreadsheetId=SPREADSHEET_ID,
+        range='States!A:M'
+    ).execute()
+
+    values = result.get('values', [])
+    headers = values[0]
+
+    states = {}
+    for row_idx, row in enumerate(values[1:], start=2):  # start=2 because row 1 is headers
+        row_padded = row + [''] * (len(headers) - len(row))
+        state_data = dict(zip(headers, row_padded))
+        state_name = state_data['State Name']
+        # Store by abbreviation for easy lookup, also store row index for updates
+        abbrev = STATE_ABBREVS.get(state_name)
+        if abbrev:
+            state_data['_row_index'] = row_idx
+            states[abbrev] = state_data
+
+    return GdocsStates(states, service)
+
+def load_google_state_swings(service: typing.Any) -> dict:
+    """Load most recent State Swings worksheet data"""
+    # Get all sheets in the spreadsheet
+    spreadsheet = service.spreadsheets().get(spreadsheetId=SPREADSHEET_ID).execute()
+    sheets = spreadsheet.get('sheets', [])
+
+    # Find all State Swings worksheets
+    swings_sheets = []
+    for sheet in sheets:
+        title = sheet['properties']['title']
+        if title.startswith('State Swings '):
+            # Extract date from title like "State Swings 2026-01-17"
+            date_str = title.replace('State Swings ', '')
+            swings_sheets.append((date_str, title))
+
+    if not swings_sheets:
+        logging.debug("No State Swings worksheets found")
+        return {}
+
+    # Sort by date and get the most recent
+    swings_sheets.sort(reverse=True)
+    most_recent_date, most_recent_title = swings_sheets[0]
+    logging.debug(f"Using State Swings worksheet: {most_recent_title}")
+
+    # Load data from the most recent sheet - read wide range to get all columns
+    result = service.spreadsheets().values().get(
+        spreadsheetId=SPREADSHEET_ID,
+        range=f"'{most_recent_title}'!A:AZ"
+    ).execute()
+
+    values = result.get('values', [])
+    if not values:
+        return {}
+
+    headers = values[0]
+
+    # Build dict mapping state abbreviation -> dict of column names to URLs
+    # Structure: {state_abbrev: {column_name: url}}
+    state_swings = {}
+    for row in values[1:]:
+        row_padded = row + [''] * (len(headers) - len(row))
+        state_data = dict(zip(headers, row_padded))
+        state_name = state_data.get('State Name', '')
+
+        # Convert state name to abbreviation
+        abbrev = STATE_ABBREVS.get(state_name)
+        if not abbrev:
+            continue
+
+        # Extract all PlanScore URL columns
+        state_urls = {}
+        for header, value in state_data.items():
+            if 'PlanScore URL' in header and value and value.strip():
+                state_urls[header] = value.strip()
+
+        if state_urls:
+            state_swings[abbrev] = state_urls
+            logging.debug(f"  {abbrev}: {len(state_urls)} URLs found")
+
+    return state_swings
+
+def get_state_swings_column_name(cycle: str) -> typing.Optional[str]:
+    """Convert cycle name to State Swings worksheet column name
+
+    Examples:
+        predict0 -> No-Swing PlanScore URL
+        predict1D -> D+1 PlanScore URL
+        predict12D -> D+12 PlanScore URL
+        predict1R -> R+1 PlanScore URL
+        predict12R -> R+12 PlanScore URL
+    """
+    if cycle == "predict0":
+        return "No-Swing PlanScore URL"
+
+    # Parse predictXD or predictXR format
+    match = re.match(r'^predict(\d+)([DR])$', cycle)
+    if not match:
+        return None
+
+    number = match.group(1)
+    party = match.group(2)
+
+    return f"{party}+{number} PlanScore URL"
+
+def planscore2election(plan_url: str, row: dict) -> typing.Optional[Election]:
+    """Process an existing plan URL to calculate election data"""
+    if not (plan_match := PLAN_URL_PAT.match(plan_url)):
+        raise ValueError(plan_url)
+
+    logging.debug(f"Processing plan: {plan_url}")
+    plan_bucket = STACK_BUCKETS[plan_match.group("stack")]
+    index_url = INDEX_URL_FMT.format(bucket=plan_bucket, id=plan_match.group("id"))
+    index_data = json.load(urllib.request.urlopen(index_url))
+
+    districts = [
+        District(
+            t["Democratic Wins"],
+            t["Democratic Votes"] / (t["Democratic Votes"] + t["Republican Votes"]),
+            t.get("US President 2024 - DEM", t["US President 2020 - DEM"]) + t.get("US President 2024 - REP", t["US President 2020 - REP"]),
+        )
+        for t in map(operator.itemgetter("totals"), index_data["districts"])
+    ]
+    state_votes = sum(d.total_votes for d in districts)
+
+    # vote share is turnout-weighted, seat share is not
+    seat_share = sum(d.dem_wins * 1 / len(districts) for d in districts)
+    vote_share = sum(d.dem_share * d.total_votes / state_votes for d in districts)
+    efficiency_gap = (seat_share - .5) - 2 * (vote_share - .5)
+
+    return Election(
+        row.get("cycle"),
+        row.get("stateabrev"),
+        row.get("newplan"),
+        round(efficiency_gap, 3),
+        row.get("seats"),
+        row.get("url"),
+    )
+
+def process_row(index: int, row: dict, gdocs: GdocsStates, state_swings: dict) -> tuple[int, Election]:
+    """Process a single row and return (index, Election) tuple"""
+    cycle = row.get("cycle")
+
+    if cycle == "2026":
+        # For 2026 rows, check if state has a redraw (column G)
+        stateabrev = row.get("stateabrev")
+        google_state = gdocs.states.get(stateabrev)
+
+        if google_state:
+            has_redraw = google_state.get('2026 Redraw', '').strip().upper() == 'Y'
+            plan_url = google_state.get('PlanScore URL', '').strip()
+
+            if has_redraw and plan_url:
+                # State has a redraw and URL in Google Sheets, process the plan
+                row = dict(row)
+                row['url'] = plan_url
+                election = planscore2election(plan_url, row)
+                return (index, election)
+            else:
+                # No redraw or no URL, keep row as-is without URL
+                return (index, Election(*(row.get(f) for f in ELECTION_FIELDS)))
+        else:
+            # No Google Sheets data for this state, keep row as-is
+            return (index, Election(*(row.get(f) for f in ELECTION_FIELDS)))
+    elif cycle and cycle.startswith("predict"):
+        # For predict* rows, check State Swings worksheet
+        stateabrev = row.get("stateabrev")
+        column_name = get_state_swings_column_name(cycle)
+
+        if column_name and stateabrev in state_swings:
+            # Get the URL for this specific column/cycle
+            plan_url = state_swings[stateabrev].get(column_name, '').strip()
+
+            if plan_url:
+                # State has a URL for this cycle in State Swings, process the plan
+                row = dict(row)
+                row['url'] = plan_url
+                election = planscore2election(plan_url, row)
+                return (index, election)
+            else:
+                # No URL for this cycle, keep row as-is
+                return (index, Election(*(row.get(f) for f in ELECTION_FIELDS)))
+        else:
+            # State not in State Swings or invalid cycle name, keep row as-is
+            return (index, Election(*(row.get(f) for f in ELECTION_FIELDS)))
+    else:
+        # Not a 2026 or predict cycle, keep row as-is
+        return (index, Election(*(row.get(f) for f in ELECTION_FIELDS)))
+
+def main(credentials_file: str, filename: str):
+    # Load Google Sheets states data
+    logging.debug("Loading Google Sheets states data...")
+    gdocs = load_google_states(credentials_file)
+    logging.debug(f"Loaded {len(gdocs.states)} states from Google Sheets")
+
+    # Load State Swings data
+    logging.debug("Loading State Swings data...")
+    state_swings = load_google_state_swings(gdocs.service)
+    logging.debug(f"Loaded {len(state_swings)} states from State Swings")
+
+    with open(filename, "r") as file1:
+        rows = list(csv.DictReader(file1))
+
+    logging.info(f"{rows[:3]}, {rows[-3:]}")
+
+    # Process all rows in parallel using ThreadPoolExecutor with 10 workers
+    with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
+        # Submit all rows with their indices
+        futures = [
+            executor.submit(process_row, index, row, gdocs, state_swings)
+            for index, row in enumerate(rows)
+        ]
+
+        # Collect results as they complete
+        results = []
+        for future in concurrent.futures.as_completed(futures):
+            results.append(future.result())
+
+    # Sort results by original index to maintain ordering
+    results.sort(key=lambda x: x[0])
+
+    # Extract just the Election objects
+    elections = [election for index, election in results]
+
+    logging.info(f"{elections[:3]}, {elections[-3:]}")
+
+    with open(filename, "w") as file2:
+        out = csv.DictWriter(file2, ELECTION_FIELDS)
+        out.writeheader()
+        for election in elections:
+            out.writerow(dataclasses.asdict(election))
+
+parser = argparse.ArgumentParser()
+parser.add_argument("credentials_file")
+parser.add_argument("filename")
+
+if __name__ == "__main__":
+    args = parser.parse_args()
+    exit(main(args.credentials_file, args.filename))
diff --git a/update-ushouse-elections.py b/update-ushouse-elections.py
index 1e33ac3b..1771da3d 100755
--- a/update-ushouse-elections.py
+++ b/update-ushouse-elections.py
@@ -1,12 +1,9 @@
 #!/usr/bin/env python3
 import argparse
-import csv
-import dataclasses
 import datetime
 import http.client
 import json
 import logging
-import operator
 import os
 import re
 import shutil
@@ -22,33 +19,16 @@
 import oauth2client.service_account
 import googleapiclient.discovery
 
-@dataclasses.dataclass
-class Election:
-    cycle: str
-    stateabrev: str
-    newplan: str
-    EG: float
-    seats: int
-    url: str
-    districts: str
-
-@dataclasses.dataclass
-class District:
-    dem_wins: float
-    dem_share: float
-    total_votes: int
-
-@dataclasses.dataclass
 class GdocsStates:
-    states: dict
-    service: typing.Any
+    def __init__(self, states: dict, service: typing.Any):
+        self.states = states
+        self.service = service
 
 UA = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/26.1 Safari/605.1.15'
 
 PLAN_URL_PAT = re.compile(r"^https://(?P<stack>dev.)?planscore.org/plan.html\?(?P<id>[\.\w]+)$")
 INDEX_URL_FMT = "https://{bucket}.s3.amazonaws.com/uploads/{id}/index.json"
 STACK_BUCKETS = {None: "planscore", "dev.": "planscore--dev"}
-ELECTION_FIELDS = tuple(f.name for f in dataclasses.fields(Election))
 
 SPREADSHEET_ID = '1rcYOxrr_bqkQWggCeP8W6eYkofl9_Zk0deHv62ilE8Y'
 
@@ -391,25 +371,17 @@ def upload_new_plan(api_key, plan_name, auth_url, shapefile_url, incumbents):
     finally:
         os.unlink(local_shapefile)
 
-def row2election(api_key: str, gdocs: GdocsStates, row: dict) -> typing.Optional[Election]:
+def process_state(api_key: str, gdocs: GdocsStates, stateabrev: str, google_state: dict) -> None:
     """
-    Process a 2026 election row, checking if it needs to be updated based on Google Sheet data.
+    Process a state from Google Sheets, checking if it needs to be updated.
+    If plan needs updating, uploads new plan and updates Google Sheets.
     """
-    stateabrev = row.get("stateabrev")
-    plan_url = row.get("url")
-
-    # Look up the state in Google Sheets by abbreviation
-    google_state = gdocs.states.get(stateabrev)
-
-    if not google_state:
-        logging.debug(f"No Google state found for {stateabrev}, returning as-is")
-        return planscore2election(plan_url, row) if plan_url else None
-
     # Check if we should skip this state
     has_redraw = google_state.get('2026 Redraw', '').strip().upper() == 'Y'
     filing_deadline_str = google_state.get('Filing Deadline', '').strip()
 
     filing_deadline_passed = False
+    filing_deadline = None
     if filing_deadline_str:
         try:
             filing_deadline = datetime.datetime.strptime(filing_deadline_str, '%Y-%m-%d').date()
@@ -418,15 +390,6 @@ def row2election(api_key: str, gdocs: GdocsStates, row: dict) -> typing.Optional
         except ValueError:
             logging.debug(f"Could not parse filing deadline: {filing_deadline_str}")
 
-    # Decision logic
-
-    # if not has_redraw:
-    #     logging.debug(f"{google_state['State Name']} - no redraw and we don't care about filing deadline, skipping")
-    #     return planscore2election(plan_url, row) if plan_url else None
-    # if not has_redraw and not filing_deadline_passed:
-    #     logging.debug(f"{google_state['State Name']} - no redraw and filing deadline not passed, skipping")
-    #     return planscore2election(plan_url, row) if plan_url else None
-
     # Check if incumbents have changed
     current_incumbents, score_date = get_plan_details(google_state.get('PlanScore URL', ''))
     new_incumbents = google_state.get('Incumbents', '').strip()
@@ -436,12 +399,12 @@ def row2election(api_key: str, gdocs: GdocsStates, row: dict) -> typing.Optional
     logging.debug(f"  Current:  {current_incumbents}")
     logging.debug(f"  New:      {new_incumbents}")
 
-    if current_incumbents == new_incumbents and score_date > filing_deadline:
+    if current_incumbents == new_incumbents and filing_deadline and score_date and score_date > filing_deadline:
         logging.debug(f"{google_state['State Name']} - incumbents unchanged and {score_date} new enough, skipping")
-        return planscore2election(plan_url, row) if plan_url else None
+        return
     elif current_incumbents == new_incumbents and not filing_deadline_passed:
         logging.debug(f"{google_state['State Name']} - incumbents unchanged and {score_date} filing deadline not passed, skipping")
-        return planscore2election(plan_url, row) if plan_url else None
+        return
 
     # Incumbents have changed, need to upload new plan
     logging.debug(f"{google_state['State Name']} - incumbents changed or {score_date} too old, uploading new plan")
@@ -459,86 +422,23 @@ def row2election(api_key: str, gdocs: GdocsStates, row: dict) -> typing.Optional
     # Update Google Sheet with the new plan URL
     update_google_sheet_plan_url(gdocs, stateabrev, google_state, new_plan_url)
 
-    # Update the row dict to use the new URL
-    row = dict(row)
-    row['url'] = new_plan_url
-
-    # Process the new plan to get election data
-    return planscore2election(new_plan_url, row)
-
-def planscore2election(plan_url: str, row: dict) -> typing.Optional[Election]:
-    """Process an existing plan URL to calculate election data"""
-    if not (plan_match := PLAN_URL_PAT.match(plan_url)):
-        raise ValueError(plan_url)
-
-    logging.debug(f"Processing plan: {plan_url}")
-    plan_bucket = STACK_BUCKETS[plan_match.group("stack")]
-    index_url = INDEX_URL_FMT.format(bucket=plan_bucket, id=plan_match.group("id"))
-    index_data = json.load(urllib.request.urlopen(index_url))
-
-    districts = [
-        District(
-            t["Democratic Wins"],
-            t["Democratic Votes"] / (t["Democratic Votes"] + t["Republican Votes"]),
-            t.get("US President 2024 - DEM", t["US President 2020 - DEM"]) + t.get("US President 2024 - REP", t["US President 2020 - REP"]),
-        )
-        for t in map(operator.itemgetter("totals"), index_data["districts"])
-    ]
-    state_votes = sum(d.total_votes for d in districts)
-
-    # vote share is turnout-weighted, seat share is not
-    seat_share = sum(d.dem_wins * 1 / len(districts) for d in districts)
-    vote_share = sum(d.dem_share * d.total_votes / state_votes for d in districts)
-    district_values = [(d.dem_wins, d.dem_share, round(d.total_votes)) for d in districts]
-    efficiency_gap = (seat_share - .5) - 2 * (vote_share - .5)
-
-    return Election(
-        row.get("cycle"),
-        row.get("stateabrev"),
-        row.get("newplan"),
-        round(efficiency_gap, 3),
-        row.get("seats"),
-        row.get("url"),
-        json.dumps(
-            [list(map(lambda n: round(n, 3), v)) for v in district_values],
-            separators=(',', ':'),
-        ),
-    )
 
-def main(api_key: str, credentials_file: str, filename: str):
+def main(api_key: str, credentials_file: str):
     # Load Google Sheets states data
     logging.debug("Loading Google Sheets states data...")
     gdocs = load_google_states(credentials_file)
     logging.debug(f"Loaded {len(gdocs.states)} states from Google Sheets")
 
-    with open(filename, "r") as file1:
-        rows = list(csv.DictReader(file1))
-
-    logging.info(f"{rows[:3]}, {rows[-3:]}")
-
-    elections = [
-        Election(*(row.get(f) for f in ELECTION_FIELDS))
-        for row in rows if row.get("cycle") != "2026"
-    ]
-
-    elections += [
-        row2election(api_key, gdocs, row) or Election(*(row.get(f) for f in ELECTION_FIELDS))
-        for row in rows if row.get("cycle") == "2026"
-    ]
-
-    logging.info(f"{elections[:3]}, {elections[-3:]}")
+    # Iterate over all states in Google Sheets and process each one
+    for stateabrev, google_state in gdocs.states.items():
+        process_state(api_key, gdocs, stateabrev, google_state)
 
-    with open(filename, "w") as file2:
-        out = csv.DictWriter(file2, ELECTION_FIELDS)
-        out.writeheader()
-        for election in elections:
-            out.writerow(dataclasses.asdict(election))
+    logging.info("All states processed.")
 
 parser = argparse.ArgumentParser()
 parser.add_argument("api_key")
 parser.add_argument("credentials_file")
-parser.add_argument("filename")
 
 if __name__ == "__main__":
     args = parser.parse_args()
-    exit(main(args.api_key, args.credentials_file, args.filename))
\ No newline at end of file
+    exit(main(args.api_key, args.credentials_file))
\ No newline at end of file
diff --git a/update-ushouse-vote-swings.py b/update-ushouse-vote-swings.py
index d361139a..75fe3523 100755
--- a/update-ushouse-vote-swings.py
+++ b/update-ushouse-vote-swings.py
@@ -37,7 +37,7 @@
 }
 
 # Shift headers (25 scenarios)
-ZERO_HEADER = 'Zero Shift'
+ZERO_HEADER = 'No-Swing'
 SHIFT_HEADERS = ['R+12', 'R+11', 'R+10', 'R+9', 'R+8', 'R+7', 'R+6', 'R+5', 'R+4', 'R+3', 'R+2', 'R+1',
                  ZERO_HEADER, 'D+1', 'D+2', 'D+3', 'D+4', 'D+5', 'D+6', 'D+7', 'D+8', 'D+9', 'D+10', 'D+11', 'D+12']
 
@@ -313,7 +313,7 @@ def clone_plan_with_swings(api_key: str, plan_id: str, description: str, vote_sw
     payload = {
         "id": plan_id,
         "description": description,
-        "vote_swings": vote_swings,
+        "vote_swings": [round(s, 3) for s in vote_swings],
         "library_metadata": library_metadata,
     }
 
@@ -693,10 +693,7 @@ def build_state_swings(service, states: dict, district_swings: dict, api_key: st
     clone_tasks = []
     state_rows = []
 
-    # TEMPORARY: Hardcode Illinois, North Carolina, Utah, and Virginia for Stage 3 testing
-    state_abbrevs = ["IL", "NC", "UT", "VA"]  # Will expand to sorted(states.keys()) in later stages
-
-    for abbrev in state_abbrevs:
+    for abbrev in sorted(states.keys()):
         state_data = states[abbrev]
         plan_url = state_data.get('PlanScore URL', '').strip()