Participants
in New HampshireRank the States on Your Own Criteria
// Normalize the values to unit volume
function norm_vals (vals)
{
min = max = vals[0];
for (i = 0 ; i < 10 ; i++) {
if (vals[i] < min) {
min = vals[i];
}
if (vals[i] > max) {
max = vals[i];
}
}
range = max - min;
for (i = 0 ; i < 10 ; i++) {
vals[i] = (vals[i] - min) / range;
}
}
// Calculate the sum of all the parameters for a particular state
function sum_states (pop,gov1,area,gov2,ins,inc,vote,dep,fin,tax,blm,efi,pland,job,liv,land,crm,pres,urba,gun,urbc,gov3,nea,geo,ii,weight)
{
rv = 0;
rv += (pop[ii] * weight[0]);
rv += (gov1[ii] * weight[1]);
rv += (area[ii] * weight[2]);
rv += (gov2[ii] * weight[3]);
rv += (ins[ii] * weight[4]);
rv += (inc[ii] * weight[5]);
rv += (vote[ii] * weight[6]);
rv += (dep[ii] * weight[7]);
rv += (fin[ii] * weight[8]);
rv += (tax[ii] * weight[9]);
rv += (blm[ii] * weight[10]);
rv += (efi[ii] * weight[11]);
rv += (pland[ii] * weight[12]);
rv += (job[ii] * weight[13]);
rv += (liv[ii] * weight[14]);
rv += (land[ii] * weight[15]);
rv += (crm[ii] * weight[16]);
rv += (pres[ii] * weight[17]);
rv += (urba[ii] * weight[18]);
rv += (gun[ii] * weight[19]);
rv += (urbc[ii] * weight[20]);
rv += (gov3[ii] * weight[21]);
rv += (nea[ii] * weight[22]);
/*
// Location, locked
if ((weight[23] != 0) && (geo[ii] == 1)) {
rv += (1.0 * weight[23]);
}
// Location, isolated
if ((weight[24] != 0) && (geo[ii] == 2)) {
rv += (1.0 * weight[24]);
}
// Location, canada
if ((weight[25] != 0) && (geo[ii] == 3)) {
rv += (1.0 * weight[25]);
}
// Location, coast
if ((weight[26] != 0) && (geo[ii] == 4)) {
rv += (1.0 * weight[26]);
}
*/
return (rv);
}
// Sort numerically
function numberorder (a, b) { return a-b; }
// The main workhorse
function compute(form)
{
// The current data
Pop = new Array();
Pop.push(494);
Pop.push(635);
Pop.push(634);
Pop.push(613);
Pop.push(757);
Pop.push(796);
Pop.push(904);
Pop.push(1321);
Pop.push(1259);
Pop.push(1287);
Area = new Array();
Area.push(97105);
Area.push(570374);
Area.push(68994);
Area.push(9249);
Area.push(75898);
Area.push(1955);
Area.push(145556);
Area.push(82751);
Area.push(8969);
Area.push(30865);
Ins = new Array();
Ins.push(42.5);
Ins.push(38.1);
Ins.push(72.5);
Ins.push(54.3);
Ins.push(68.1);
Ins.push(48.3);
Ins.push(56.1);
Ins.push(47.2);
Ins.push(43.3);
Ins.push(67.3);
Geo = new Array();
Geo.push(1);
Geo.push(2);
Geo.push(3);
Geo.push(3);
Geo.push(1);
Geo.push(4);
Geo.push(3);
Geo.push(3);
Geo.push(4);
Geo.push(4);
Vote = new Array();
Vote.push(213);
Vote.push(288);
Vote.push(290);
Vote.push(291);
Vote.push(316);
Vote.push(328);
Vote.push(411);
Vote.push(488);
Vote.push(567);
Vote.push(647);
Fin = new Array();
Fin.push(4.7);
Fin.push(6.1);
Fin.push(4.2);
Fin.push(4.3);
Fin.push(13.8);
Fin.push(8.7);
Fin.push(10.9);
Fin.push(7.7);
Fin.push(8.2);
Fin.push(11.4);
Blm = new Array();
Blm.push(45.9);
Blm.push(67);
Blm.push(3.9);
Blm.push(6.4);
Blm.push(6.3);
Blm.push(2);
Blm.push(28.8);
Blm.push(62.7);
Blm.push(12.8);
Blm.push(1);
Pland = new Array();
Pland.push(47.782);
Pland.push(23.77);
Pland.push(62.684);
Pland.push(7.791);
Pland.push(69.186);
Pland.push(1.812);
Pland.push(91.1);
Pland.push(24.52);
Pland.push(7.36);
Pland.push(29.103);
Liv = new Array();
Liv.push(29.72);
Liv.push(24.86);
Liv.push(28.23);
Liv.push(27.63);
Liv.push(29.02);
Liv.push(25.93);
Liv.push(23.98);
Liv.push(25.56);
Liv.push(31.81);
Liv.push(28.53);
Crm = new Array();
Crm.push(3518);
Crm.push(4236);
Crm.push(2418);
Crm.push(2769);
Crm.push(2332);
Crm.push(4053);
Crm.push(3689);
Crm.push(3133);
Crm.push(2322);
Crm.push(2688);
UrbA = new Array();
UrbA.push(25.5);
UrbA.push(44.3);
UrbA.push(35.8);
UrbA.push(17.3);
UrbA.push(25.8);
UrbA.push(67.8);
UrbA.push(25.9);
UrbA.push(46.7);
UrbA.push(44.6);
UrbA.push(24.6);
UrbC = new Array();
UrbC.push(39.8);
UrbC.push(21.4);
UrbC.push(20.0);
UrbC.push(20.9);
UrbC.push(26.2);
UrbC.push(12.2);
UrbC.push(28.1);
UrbC.push(19.7);
UrbC.push(14.6);
UrbC.push(15.6);
Gov1 = new Array();
Gov1.push(13.4);
Gov1.push(19.1);
Gov1.push(14.4);
Gov1.push(13.0);
Gov1.push(12.7);
Gov1.push(9.2);
Gov1.push(16.5);
Gov1.push(13.1);
Gov1.push(7.7);
Gov1.push(14.1);
Gov2 = new Array();
Gov2.push(9.4);
Gov2.push(9.7);
Gov2.push(9.1);
Gov2.push(9.7);
Gov2.push(8.3);
Gov2.push(6.9);
Gov2.push(10.8);
Gov2.push(9.5);
Gov2.push(6.2);
Gov2.push(9.8);
Inc = new Array();
Inc.push(37.9);
Inc.push(51.6);
Inc.push(34.6);
Inc.push(40.9);
Inc.push(35.3);
Inc.push(47.4);
Inc.push(33.0);
Inc.push(37.6);
Inc.push(49.5);
Inc.push(37.2);
Dep = new Array();
Dep.push(1.14);
Dep.push(1.63);
Dep.push(1.95);
Dep.push(1.12);
Dep.push(1.50);
Dep.push(0.86);
Dep.push(1.67);
Dep.push(1.24);
Dep.push(0.71);
Dep.push(1.31);
Tax = new Array();
Tax.push(9.8);
Tax.push(6.3);
Tax.push(10.2);
Tax.push(11.0);
Tax.push(9.1);
Tax.push(10.2);
Tax.push(10.0);
Tax.push(10.5);
Tax.push(8.6);
Tax.push(12.8);
Efi = new Array();
Efi.push(4.41);
Efi.push(6.01);
Efi.push(5.00);
Efi.push(5.59);
Efi.push(4.47);
Efi.push(4.56);
Efi.push(5.20);
Efi.push(3.92);
Efi.push(4.55);
Efi.push(6.22);
Job = new Array();
Job.push(27.45);
Job.push(48.65);
Job.push(34.35);
Job.push(36.65);
Job.push(55.6);
Job.push(75.95);
Job.push(79.9);
Job.push(185.9);
Job.push(105.7);
Job.push(65.4);
Land = new Array();
Land.push(10);
Land.push(10);
Land.push(10);
Land.push(0);
Land.push(10);
Land.push(0);
Land.push(10);
Land.push(6.7);
Land.push(3.3);
Land.push(3.3);
Pres = new Array();
Pres.push(69.9);
Pres.push(59.8);
Pres.push(61.0);
Pres.push(41.4);
Pres.push(60.8);
Pres.push(42.2);
Pres.push(59.1);
Pres.push(68.2);
Pres.push(48.6);
Pres.push(44.5);
Gun = new Array();
Gun.push(-4);
Gun.push(-8);
Gun.push(-5);
Gun.push(-5);
Gun.push(-3);
Gun.push(2);
Gun.push(-6);
Gun.push(-3);
Gun.push(0);
Gun.push(-10);
Gov3 = new Array();
Gov3.push(22.0);
Gov3.push(29.6);
Gov3.push(18.5);
Gov3.push(13.9);
Gov3.push(17.5);
Gov3.push(13.3);
Gov3.push(20.0);
Gov3.push(17.3);
Gov3.push(13.8);
Gov3.push(15.4);
Nea = new Array();
Nea.push(1.16);
Nea.push(2.15);
Nea.push(1.41);
Nea.push(1.46);
Nea.push(0.86);
Nea.push(1.16);
Nea.push(1.57);
Nea.push(0.84);
Nea.push(0.84);
Nea.push(1.42);
num = 27;
// First, normalize all the data
norm_vals (Pop);
norm_vals (Area);
norm_vals (Ins);
norm_vals (Vote);
norm_vals (Fin);
norm_vals (Blm);
norm_vals (Pland);
norm_vals (Liv);
norm_vals (Crm);
norm_vals (UrbA);
norm_vals (UrbC);
norm_vals (Gov1);
norm_vals (Gov2);
norm_vals (Inc);
norm_vals (Dep);
norm_vals (Tax);
norm_vals (Efi);
norm_vals (Job);
norm_vals (Land);
norm_vals (Pres);
norm_vals (Gun);
norm_vals (Gov3);
norm_vals (Nea);
// norm_vals (Geo);
// Grab the weights
weight = new Array();
for (i = 0 ; i < num ; i++) {
if ((document.forms[0].elements[i].value < -10) || (document.forms[0].elements[i].value > 10)) {
var msg;
msg = "All Weights must be between -10 and 10 (inclusive)"
alert (msg);
return (false);
}
if (document.forms[0].elements[i].value == "") {
weight[i] = 0;
} else {
weight[i] = document.forms[0].elements[i].value;
}
}
// Calculate the results
sums = new Array();
for (i = 0 ; i < 10 ; i++) {
rv = sum_states (Pop,Gov1,Area,Gov2,Ins,Inc,Vote,Dep,Fin,Tax,
Blm,Efi,Pland,Job,Liv,Land,Crm,Pres,UrbA,Gun,UrbC,
Gov3,Nea,Geo,i,weight);
sums[i] = rv;
}
Wy = sums[0];
Ak = sums[1];
Nd = sums[2];
Vt = sums[3];
Sd = sums[4];
De = sums[5];
Mt = sums[6];
Id = sums[7];
Nh = sums[8];
Me = sums[9];
form.wy.value = Wy;
form.ak.value = Ak;
form.nd.value = Nd;
form.vt.value = Vt;
form.sd.value = Sd;
form.de.value = De;
form.mt.value = Mt;
form.id.value = Id;
form.nh.value = Nh;
form.me.value = Me;
sums.sort(numberorder);
rank = new Array();
rank[0] = 0;
rank[1] = 0;
rank[2] = 0;
rank[3] = 0;
rank[4] = 0;
rank[5] = 0;
rank[6] = 0;
rank[7] = 0;
rank[8] = 0;
rank[9] = 0;
for (i = 0 ; i < 10 ; i++) {
if (sums[i] == Wy) {
rank[0] = 10 - i;
}
if (sums[i] == Ak) {
rank[1] = 10 - i;
}
if (sums[i] == Nd) {
rank[2] = 10 - i;
}
if (sums[i] == Vt) {
rank[3] = 10 - i;
}
if (sums[i] == Sd) {
rank[4] = 10 - i;
}
if (sums[i] == De) {
rank[5] = 10 - i;
}
if (sums[i] == Mt) {
rank[6] = 10 - i;
}
if (sums[i] == Id) {
rank[7] = 10 - i;
}
if (sums[i] == Nh) {
rank[8] = 10 - i;
}
if (sums[i] == Me) {
rank[9] = 10 - i;
}
}
form.wy_r.value = rank[0];
form.ak_r.value = rank[1];
form.nd_r.value = rank[2];
form.vt_r.value = rank[3];
form.sd_r.value = rank[4];
form.de_r.value = rank[5];
form.mt_r.value = rank[6];
form.id_r.value = rank[7];
form.nh_r.value = rank[8];
form.me_r.value = rank[9];
return (0);
}
Rank the States on Your Own Criteria
The following ranking system is easier and allows more freedom than the spreadsheet, but it can also be trickier! Refer to the State Data page and follow the instructions below.
To assign weights, ask yourself if a large number for a particular item is good or bad. For instance, if a large population is good, then assign the weight a large positive value. If a large population is bad, assign the weight a large negative value. If you don't care, the weight value should be zero (or near zero). Weights can be any value from -10 to 10 (inclusive). (Note the legend for each variable at the bottom.)
Once you've entered the weights, click on the 'Calculate' button and the results will appear in the labeled boxes below. Interpreting the results is easy: the higher (more positive) the value, the higher your preference for that state! The ranking of the state (1 thru 10) is also shown.
| General Data Weights | Economic and Political Data Weights |
||
|---|---|---|---|
| Pop | Gov1 | ||
| Area | Gov2 | ||
| Ins | Inc | ||
| Vot | Dep | ||
| Fin | Tax | ||
| Blm | EFI | ||
| Pland | Job | ||
| Liv | Land | ||
| Crm | Pres | ||
| UrbA | Gun | ||
| UrbC | Gov3 | ||
| NEA | |||
| State | Score | Rank | State | Score | Rank | State | Score | Rank |
|---|---|---|---|---|---|---|---|---|
| WY: | AK: | ND: | ||||||
| VT: | SD: | DE: | ||||||
| MT: | ID: | NH: | ||||||
| ME: | ||||||||
|
Pop=Population in 1000's |
||||||||
|
Gov1=Federal, state, and
local government spending as a percentage of Gross State Product (lower numbers
are better) |
||||||||
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