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Mumbai Population Density Map
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README.md

Mumbai Population Data Map

Github repo: https://github.com/mickeykedia/Mumbai-Population-Map

Understanding Wards

Read Wikipedia page here https://en.wikipedia.org/wiki/Administrative_divisions_of_Mumbai

Data Source

Census 2011: http://censusindia.gov.in/pca/pcadata/pca.html

There is sub-ward level data available on the census website for Mumbai and Mumbai Suburban. These two datasets were collated and then the data was grouped by wards. The original dataset does not have Ward Names ('A', 'B', 'F/S' etc.) as used everywhere by the BMC.

This information was extracted by following the directions here: https://groups.google.com/forum/?hl=en#!searchin/datameet/ward$20mumbai/datameet/AG3hO7cn3VU/4lmdFlNxCAAJ

Incase the above link is not up, this is the conversation on the thread

On Monday, 14 December 2015 00:33:20 UTC+5:30, rithik...@idfcinstitute.org wrote:
Hello, 

I work with a Mumbai based research institute and we are interested in doing some ward level analysis based on Mumbai. 

I've downloaded the Primary census abstract which has ward level info on household amenities. 
However I see that the wards are identified as nos. eg. 1048 or 0835 etc. 
Wards as I understand, in the BMC are identified as A / B/ M west etc. 
Any idea if there is a one to one mapping of the census ward numbers to the BMC ward alphabets? 

Any help will be appreciated! Thank you! :) 

Rithika 

On Monday, December 14, 2015 at 2:44:16 PM UTC+5:30, Sumit wrote:
The first two digits of the ward number given in the Census dataset will match with the BMC's alphabetical list. 

Regards,
Sumit

On Monday, 14 December 2015 19:58:19 UTC+5:30, rithik...@idfcinstitute.org wrote:
Hey Sumit!

Just a quick qn, what do we do in case of wards such as M ward, where there is an M East and M West and similar such cases. 
So will we take the M E before M W because of the alphabetical order. thanks!!


Rithika,

You can take a look at the sequence given in the Census Handbook [page 10].
http://www.censusindia.gov.in/2011census/dchb/2722_PART_B_DCHB_%20MUMBAI%20(SUBURBAN).pdf

Regards,
Sumit

forked from rogerfischer's block: Prop F with SF Precincts

Raw
index.html
<!DOCTYPE html>
<html>
<meta charset="utf-8">
<head>
<title>Mumbai Ward Level Population</title>
<style>
body {
height: 100%;
margin: 0;
padding: 0;
font-family: 'Lato', sans-serif;
color: #272a2f;
}
#mapcanvas {
width: 960px;
height: 600px;
margin: 10px 10px 10px 10px;
/*padding: 5px 5px 5px 5px;*/
border: 0.2px solid #555;
}
.mumbai {
fill: #f6f6f6;
/*fill: #eee;*/
}
.ward:hover {
opacity: 0.4;
}
.hidden {
display: none;
}
.mumbai-boundary {
fill: none;
stroke: #fff;
stroke-width: none;
}
div.tooltip {
color: #222;
background-color: #fff;
padding: .5em;
text-shadow: #f5f5f5 0 1px 0;
border-radius: 2px;
opacity: 0.9;
position: absolute;
}
.axis text {
font: 10px;
}
.axis line, .axis path {
fill:none;
stroke:#000;
shape-rendering:crispEdges;
}
/*
Fill ranges for Quantized scale
ref: https://bl.ocks.org/mbostock/4060606
.q0-9 { fill:rgb(247,251,255); }
.q1-9 { fill:rgb(222,235,247); }
.q2-9 { fill:rgb(198,219,239); }
.q3-9 { fill:rgb(158,202,225); }
.q4-9 { fill:rgb(107,174,214); }
.q5-9 { fill:rgb(66,146,198); }
.q6-9 { fill:rgb(33,113,181); }
.q7-9 { fill:rgb(8,81,156); }
.q8-9 { fill:rgb(8,48,107); }
*/
</style>
<link href='https://fonts.googleapis.com/css?family=Varela+Round' rel='stylesheet' type='text/css'>
<link href='https://fonts.googleapis.com/css?family=Lato' rel='stylesheet' type='text/css'>
</head>
<body>
<!--<div id="mapcanvas" ></div> -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/topojson/1.6.19/topojson.min.js"></script>
<script src="https://d3js.org/queue.v1.min.js"></script>
<!-- Legend Library http://d3-legend.susielu.com/ -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3-legend/1.10.0/d3-legend.js"></script>
<script>
var width = 1060,
height = 800;
// PROJECTION
/*
A Different projection which doesn't work very well for Mumbai
var projection = d3.geo.conicConformal()
.rotate([0, 0, 0])
.center([72.8777, 19.089]) // Approximately the coordinates of Mumbai (slightly North)
.scale(90000)
.parallels([37.06666666666667, 38.43333333333333])
.translate([width / 2, height / 2])
.precision(.1);
*/
// MERCATOR
var projection = d3.geo.mercator()
.center([72.8777, 19.089]) // Approximately the coordinates of Mumbai (slightly North)
.scale(90000)
.translate([width / 2, 310]);
var path = d3.geo.path()
.projection(projection);
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
// Title inside the Map
svg.append("text")
.attr("x", "50")
.attr("y", "29")
.attr("text-anchor", "start")
.style("font-size", "16px")
.style("text-decoration", "none")
.text("Mumbai Ward Level Map");
// Div for the tooltip
var tooltip = d3.select('body').append('div')
.attr('class', 'hidden tooltip');
// Defining the scale
var linear = d3.scale.linear()
.range(["beige", "red"]);
/*
// Linear 2
// Excluding outliers (but please check the data first)
var quantize = d3.scale.quantize()
.range(d3.range(9).map(function(i) { return "q" + i +"-9";}))
var linear2 = d3.scale.linear()
.range(["red", "white", "green"]);
// A scale to try with different thresholds. May be interesting to do this
var threshold = d3.scale.threshold()
.domain([0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1])
.range(["#8e0152", "#c51b7d", "#de77ae", "#f1b6da", "#fde0ef", "#f7f7f7", "#e6f5d0", "#b8e186", "#7fbc41", "#4d9221", "#276419"]);
*/
// Using the queue library. We may be able to replace this with something that d3js
// do on its own
queue()
.defer(d3.json, 'Mumbai_Topojson.topojson')
.defer(d3.csv, 'ward_level_collated.csv') // REPLACE REF WITH DATA
.await(ready);
// The default property to be mapped
var property = 'TOT_P_DEN';
/**
*
* Finds the min and max for the property in the data.
* Also assumes that the property has integer values.
* @param data
* @param property
* @return
*/
function calculate_domain(data, property){
var d_prop = data.map(function(d){ return parseInt(d[property]);});
var ret_value = {};
ret_value['min'] = d3.min(d_prop);
ret_value['max'] = d3.max(d_prop);
return ret_value;
};
/**
*
* The ready function which after the data is loaded creates all the elements
* etc.
*
*/
function ready(error, MAP, DATA) { // REPLACE REF WITH DATA
if (error) throw error;
//console.log(MAP) // CHECK YOUR MAP
//console.log(DATA) // CHECK YOUR DATA
// Set domain for the scales
var dom = calculate_domain(DATA, property);
linear.domain([dom['min'], dom['max']]);
// Mumbai data
var mumbai = topojson.feature(MAP, MAP.objects.Mumbai);
var ward_id = {};
DATA.forEach(function(d) { ward_id[d.Ward_Alphabet] = d.Ward_Alphabet})
var ward_names = {};
DATA.forEach(function(d) { ward_names[d.Ward_Alphabet] = d.Ward_Names})
var prop_value = {};
DATA.forEach(function(d) { prop_value[d.Ward_Alphabet] = +parseInt(d[property]); });
//console.log(prop_value);
svg.append("g")
.attr("class", "mumbai")
.selectAll("path")
.data(mumbai.features)
.enter()
.append("path")
.attr("class", "ward")
.attr("d", path)
// Try out the different scales.
.style("fill", function(d) {
return linear(prop_value[d.properties.name]);
}) // population
.on('mousemove', function(d) {
// Gets coordinates for the Mouse pointer
var mouse = d3.mouse(svg.node()).map(function(d) {
return parseInt(d);
});
// Un hides the div for the tooltip and the positions it
// Also adds the html content
// @TODO: Format the population values to put commas
tooltip.classed('hidden', false)
.attr('style', 'left:' + (mouse[0] + 15) +
'px; top:' + (mouse[1] - 35) + 'px')
.html(ward_names[d.properties.name] + ": "+ prop_value[d.properties.name].toLocaleString());
})
.on('mouseout', function() {
tooltip.classed('hidden', true);
});
//Borders
svg.append("path")
.datum(topojson.mesh(MAP, MAP.objects.Mumbai, function(a, b) { return a !== b; }))
.attr("class", "mumbai-boundary")
.attr("d", path);
// Legend
svg.append("g")
.attr("class", "legendLinear")
.attr("transform", "translate(50, 100)");
var legendLinear = d3.legend.color()
.scale(linear)
.title("Population Density / Sq. KM (2011)")
.labelFormat(d3.format(",.0f"));
svg.select(".legendLinear")
.call(legendLinear);
};
</script>
</body>
</html>
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Raw
Mumbai_Topojson.topojson
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Raw
ward_level_collated.csv
id Ward_Alphabet No_HH TOT_P TOT_M TOT_F P_06 M_06 F_06 P_SC M_SC F_SC P_ST M_ST F_ST P_LIT M_LIT F_LIT P_ILL M_ILL F_ILL TOT_WORK_P TOT_WORK_M TOT_WORK_F MAINWORK_P MAINWORK_M MAINWORK_F MAIN_CL_P MAIN_CL_M MAIN_CL_F MAIN_AL_P MAIN_AL_M MAIN_AL_F MAIN_HH_P MAIN_HH_M MAIN_HH_F MAIN_OT_P MAIN_OT_M MAIN_OT_F MARGWORK_P MARGWORK_M MARGWORK_F MARG_CL_P MARG_CL_M MARG_CL_F MARG_AL_P MARG_AL_M MARG_AL_F MARG_HH_P MARG_HH_M MARG_HH_F MARG_OT_P MARG_OT_M MARG_OT_F MARGWORK_3_6_P MARGWORK_3_6_M MARGWORK_3_6_F MARG_CL_3_6_P MARG_CL_3_6_M MARG_CL_3_6_F MARG_AL_3_6_P MARG_AL_3_6_M MARG_AL_3_6_F MARG_HH_3_6_P MARG_HH_3_6_M MARG_HH_3_6_F MARG_OT_3_6_P MARG_OT_3_6_M MARG_OT_3_6_F MARGWORK_0_3_P MARGWORK_0_3_M MARGWORK_0_3_F MARG_CL_0_3_P MARG_CL_0_3_M MARG_CL_0_3_F MARG_AL_0_3_P MARG_AL_0_3_M MARG_AL_0_3_F MARG_HH_0_3_P MARG_HH_0_3_M MARG_HH_0_3_F MARG_OT_0_3_P MARG_OT_0_3_M MARG_OT_0_3_F NON_WORK_P NON_WORK_M NON_WORK_F Ward_Names Land_Area TOT_P_DEN
0 A 43866 185014 101227 83787 18283 9609 8674 13634 6837 6797 3193 1675 1518 146235 83091 63144 38779 18136 20643 83760 63456 20304 78408 60212 18196 307 225 82 195 147 48 965 633 332 76941 59207 17734 5352 3244 2108 87 42 45 23 16 7 156 65 91 5086 3121 1965 4798 2894 1904 85 41 44 22 16 6 133 56 77 4558 2781 1777 554 350 204 2 1 1 1 0 1 23 9 14 528 340 188 101254 37771 63483 Colaba 12.5 14801.12
1 B 27140 127290 70445 56845 12271 6434 5837 5338 2648 2690 1089 660 429 101448 57077 44371 25842 13368 12474 50218 42982 7236 47597 41316 6281 77 53 24 88 62 26 1488 1080 408 45944 40121 5823 2621 1666 955 29 20 9 23 15 8 160 63 97 2409 1568 841 2083 1290 793 26 18 8 18 11 7 117 46 71 1922 1215 707 538 376 162 3 2 1 5 4 1 43 17 26 487 353 134 77072 27463 49609 Sandhurst Road 2.5 50916.0
2 C 36479 166161 98027 68134 11454 5993 5461 2308 1147 1161 378 207 171 140863 83782 57081 25298 14245 11053 79238 67166 12072 76027 65082 10945 182 134 48 166 133 33 3410 2798 612 72269 62017 10252 3211 2084 1127 117 62 55 15 5 10 191 92 99 2888 1925 963 2809 1815 994 114 61 53 13 3 10 154 78 76 2528 1673 855 402 269 133 3 1 2 2 2 0 37 14 23 360 252 108 86923 30861 56062 Marine Lines 1.8 92311.67
3 D 77556 346866 182988 163878 23423 12264 11159 16844 8217 8627 1629 877 752 294478 157395 137083 52388 25593 26795 153093 114418 38675 142913 108771 34142 539 329 210 559 397 162 4847 3531 1316 136968 104514 32454 10180 5647 4533 306 154 152 90 55 35 495 251 244 9289 5187 4102 9090 4976 4114 299 150 149 88 54 34 372 179 193 8331 4593 3738 1090 671 419 7 4 3 2 1 1 123 72 51 958 594 364 193773 68570 125203 Grant Road 6.6 52555.45
4 E 78346 393286 216067 177219 37199 19370 17829 22214 11302 10912 2607 1393 1214 312208 174941 137267 81078 41126 39952 159659 130886 28773 148452 124117 24335 421 274 147 589 466 123 5746 4710 1036 141696 118667 23029 11207 6769 4438 234 129 105 102 52 50 751 446 305 10120 6142 3978 9328 5563 3765 227 125 102 82 40 42 594 350 244 8425 5048 3377 1879 1206 673 7 4 3 20 12 8 157 96 61 1695 1094 601 233627 85181 148446 Byculla 7.4 53146.76
5 F/N 119624 529034 285184 243850 52586 27421 25165 37217 19086 18131 5833 3186 2647 420492 236068 184424 108542 49116 59426 207964 165991 41973 194579 157837 36742 633 428 205 1094 891 203 5726 4060 1666 187126 152458 34668 13385 8154 5231 445 214 231 136 88 48 906 321 585 11898 7531 4367 11143 6679 4464 438 211 227 116 72 44 652 241 411 9937 6155 3782 2242 1475 767 7 3 4 20 16 4 254 80 174 1961 1376 585 321070 119193 201877 Matunga 13.0 40694.92
6 F/S 79733 360972 190739 170233 30517 16178 14339 26181 13157 13024 2530 1324 1206 303043 164725 138318 57929 26014 31915 141211 109107 32104 133431 104307 29124 370 227 143 777 648 129 3856 2488 1368 128428 100944 27484 7780 4800 2980 329 172 157 80 58 22 513 227 286 6858 4343 2515 6504 4002 2502 320 168 152 74 53 21 408 186 222 5702 3595 2107 1276 798 478 9 4 5 6 5 1 105 41 64 1156 748 408 219761 81632 138129 Parel 14.0 25783.71
7 G/N 83457 377749 208762 168987 30133 15869 14264 37699 19308 18391 4055 2101 1954 312304 179301 133003 65445 29461 35984 159221 125621 33600 152156 121457 30699 753 615 138 650 508 142 4637 3309 1328 146116 117025 29091 7065 4164 2901 224 110 114 71 39 32 545 229 316 6225 3786 2439 5600 3206 2394 220 106 114 60 33 27 401 166 235 4919 2901 2018 1465 958 507 4 4 0 11 6 5 144 63 81 1306 885 421 218528 83141 135387 Dadar/Plaza 9.1 41510.88
8 G/S 128138 599039 331169 267870 57020 29428 27592 58499 29862 28637 3779 2065 1714 477951 274300 203651 121088 56869 64219 250032 201382 48650 235771 192409 43362 625 415 210 968 775 193 10164 7776 2388 224014 183443 40571 14261 8973 5288 373 192 181 119 71 48 982 457 525 12787 8253 4534 12309 7698 4611 370 191 179 100 61 39 664 285 379 11175 7161 4014 1952 1275 677 3 1 2 19 10 9 318 172 146 1612 1092 520 349007 129787 219220 Elphinstone 10.0 59903.9
9 H/E 72943 307581 161697 145884 24008 12438 11570 9711 4846 4865 2864 1500 1364 259776 139592 120184 47805 22105 25700 132501 98665 33836 125379 94328 31051 253 160 93 420 293 127 3191 2291 900 121515 91584 29931 7122 4337 2785 165 86 79 71 36 35 272 119 153 6614 4096 2518 6161 3722 2439 159 84 75 63 32 31 208 87 121 5731 3519 2212 961 615 346 6 2 4 8 4 4 64 32 32 883 577 306 175080 63032 112048 Khar/Santacruz 13.5 22783.78
10 H/W 120266 557239 305866 251373 54981 28671 26310 34495 17779 16716 4180 2447 1733 449176 255882 193294 108063 49984 58079 230883 182210 48673 213248 171670 41578 929 599 330 1372 1078 294 6153 4422 1731 204794 165571 39223 17635 10540 7095 518 279 239 560 448 112 813 345 468 15744 9468 6276 15158 8883 6275 478 257 221 506 411 95 608 266 342 13566 7949 5617 2477 1657 820 40 22 18 54 37 17 205 79 126 2178 1519 659 326356 123656 202700 Bandra 11.6 48037.84
11 K/E 190845 823885 440655 383230 74083 38632 35451 33764 17287 16477 7617 3957 3660 687037 380529 306508 136848 60126 76722 339860 263931 75929 321741 252630 69111 867 566 301 1463 1081 382 7290 4981 2309 312121 246002 66119 18119 11301 6818 409 198 211 229 132 97 946 358 588 16535 10613 5922 15115 9317 5798 400 194 206 193 112 81 611 271 340 13911 8740 5171 3004 1984 1020 9 4 5 36 20 16 335 87 248 2624 1873 751 484025 176724 307301 Andheri (East) 24.8 33221.17
12 K/W 168076 748688 401462 347226 67498 35237 32261 20633 10580 10053 6780 3531 3249 612139 336971 275168 136549 64491 72058 313562 239667 73895 295092 229114 65978 1567 882 685 1411 1058 353 7337 5060 2277 284777 222114 62663 18470 10553 7917 577 312 265 186 95 91 1173 548 625 16534 9598 6936 15509 8654 6855 563 302 261 171 83 88 959 431 528 13816 7838 5978 2961 1899 1062 14 10 4 15 12 3 214 117 97 2718 1760 958 435126 161795 273331 Andheri (West) 23.4 31995.21
13 L 186833 902225 500613 401612 103641 54117 49524 58884 30325 28559 5676 3070 2606 709306 411859 297447 192919 88754 104165 343869 291260 52609 326566 279501 47065 609 421 188 1564 1240 324 7260 5187 2073 317133 272653 44480 17303 11759 5544 378 219 159 150 89 61 732 303 429 16043 11148 4895 14168 9442 4726 372 213 159 129 74 55 544 235 309 13123 8920 4203 3135 2317 818 6 6 0 21 15 6 188 68 120 2920 2228 692 558356 209353 349003 Kurla 15.9 56743.71
14 M/E 166400 807720 436557 371163 105741 55071 50670 78104 40340 37764 9874 5220 4654 585336 334953 250383 222384 101604 120780 285029 238744 46285 263033 224040 38993 759 529 230 1306 1063 243 8145 6141 2004 252823 216307 36516 21996 14704 7292 562 313 249 266 186 80 1480 760 720 19688 13445 6243 18001 11866 6135 532 292 240 221 151 70 1096 589 507 16152 10834 5318 3995 2838 1157 30 21 9 45 35 10 384 171 213 3536 2611 925 522691 197813 324878 Chembur 32.5 24852.92
15 M/W 93607 411893 217631 194262 41321 21640 19681 73874 37971 35903 3975 2121 1854 329472 182092 147380 82421 35539 46882 168040 126724 41316 154859 119287 35572 521 344 177 1060 825 235 14395 10242 4153 138883 107876 31007 13181 7437 5744 284 137 147 151 96 55 1670 724 946 11076 6480 4596 11058 6162 4896 275 131 144 133 81 52 1022 400 622 9628 5550 4078 2123 1275 848 9 6 3 18 15 3 648 324 324 1448 930 518 243853 90907 152946 Chembur (West) 19.5 21122.72
16 N 137885 622853 332627 290226 61073 31939 29134 50998 26266 24732 6814 3676 3138 509013 281795 227218 113840 50832 63008 241779 195481 46298 231158 188818 42340 391 259 132 918 720 198 5626 3670 1956 224223 184169 40054 10621 6663 3958 277 142 135 83 53 30 635 178 457 9626 6290 3336 8615 5427 3188 267 135 132 75 46 29 408 125 283 7865 5121 2744 2006 1236 770 10 7 3 8 7 1 227 53 174 1761 1169 592 381074 137146 243928 Ghatkopar 26.0 23955.88
17 P/N 211642 941366 507517 433849 100079 52413 47666 38590 20128 18462 10467 5444 5023 750036 421647 328389 191330 85870 105460 371650 297622 74028 348928 284213 64715 1048 698 350 2239 1800 439 12714 8962 3752 332927 272753 60174 22722 13409 9313 608 306 302 379 230 149 1865 699 1166 19870 12174 7696 19483 11464 8019 591 299 292 328 193 135 1431 560 871 17133 10412 6721 3239 1945 1294 17 7 10 51 37 14 434 139 295 2737 1762 975 569716 209895 359821 Malad 19.1 49286.18
18 P/S 106922 463507 249502 214005 44172 22953 21219 27651 14269 13382 7554 3880 3674 378848 211917 166931 84659 37585 47074 192818 148823 43995 180374 141358 39016 662 444 218 652 481 171 4897 3363 1534 174163 137070 37093 12444 7465 4979 341 169 172 118 64 54 591 244 347 11394 6988 4406 10510 6266 4244 332 161 171 104 56 48 429 167 262 9645 5882 3763 1934 1199 735 9 8 1 14 8 6 162 77 85 1749 1106 643 270689 100679 170010 Goregaon 24.4 18996.19
19 R/C 134795 562162 289153 273009 44881 23560 21321 27325 13913 13412 8245 4199 4046 480279 250592 229687 81883 38561 43322 226167 165831 60336 214241 159702 54539 722 451 271 1209 884 325 5597 3689 1908 206713 154678 52035 11926 6129 5797 442 206 236 198 98 100 623 226 397 10663 5599 5064 10432 5357 5075 434 199 235 184 90 94 512 183 329 9302 4885 4417 1494 772 722 8 7 1 14 8 6 111 43 68 1361 714 647 335995 123322 212673 Borivali 50.0 11243.24
20 R/N 104091 431368 233710 197658 40719 21508 19211 14060 7367 6693 5597 2906 2691 356166 200011 156155 75202 33699 41503 177401 138856 38545 170045 134703 35342 378 274 104 726 569 157 4082 2756 1326 164859 131104 33755 7356 4153 3203 177 85 92 121 58 63 585 173 412 6473 3837 2636 6126 3369 2757 176 85 91 116 55 61 455 133 322 5379 3096 2283 1230 784 446 1 0 1 5 3 2 130 40 90 1094 741 353 253967 94854 159113 Dahisar 18.0 23964.89
21 R/S 159639 691229 379319 311910 65716 34577 31139 31166 16424 14742 8424 4553 3871 565695 320657 245038 125534 58662 66872 281884 226288 55596 267183 217366 49817 581 364 217 1228 901 327 8869 6270 2599 256505 209831 46674 14701 8922 5779 358 175 183 243 139 104 1218 417 801 12882 8191 4691 11850 7178 4672 340 171 169 227 131 96 930 334 596 10353 6542 3811 2851 1744 1107 18 4 14 16 8 8 288 83 205 2529 1649 880 409345 153031 256314 Kandivali 17.8 38833.09
22 S 169962 743783 398858 344925 75168 39367 35801 60833 31110 29723 9609 5080 4529 611024 340453 270571 132759 58405 74354 292474 228944 63530 273338 216955 56383 768 527 241 1442 1094 348 6709 4434 2275 264419 210900 53519 19136 11989 7147 415 217 198 189 108 81 1134 379 755 17398 11285 6113 15621 9653 5968 391 201 190 171 97 74 730 236 494 14329 9119 5210 3515 2336 1179 24 16 8 18 11 7 404 143 261 3069 2166 903 451309 169914 281395 Bhandup 64.0 11621.61
23 T 81698 341463 176156 165307 27803 14573 13230 23214 11686 11528 6884 3449 3435 292182 154079 138103 49281 22077 27204 137104 101276 35828 130737 97796 32941 341 212 129 611 424 187 2531 1280 1251 127254 95880 31374 6367 3480 2887 179 80 99 157 46 111 283 79 204 5748 3275 2473 5476 2917 2559 174 76 98 154 44 110 216 60 156 4932 2737 2195 891 563 328 5 4 1 3 2 1 67 19 48 816 538 278 204359 74880 129479 Mulund 45.4 7521.21
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