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Yep, this is good, and the license text from MRSAC being there is
significant. There is a column to differentiate between village, gap
etc which may also be very helpful. It's only having census 2001 code
though, so will have to work on matching with 2011 codes.
Thanks Justin, will look into this in coming days (other folks in MH
and into mapping, join in!).
The totals will be important to compare across this and other datasets
like census data.
Would you have similar data for Madhya Pradesh too? (checked your
github, didn't find it there)
On 8/25/17, Justin <justinell...@gmail.com> wrote:
> Maharashtra:
> https://github.com/justinelliotmeyers/official_maharshtra_india_village_boundary_shapefile
>
> This is the highest quality data I have seen for here
>
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Cheers,
Nikhil VJ
+91-966-583-1250
Pune / Mandangad, India
DataMeet Pune chapter <https://datameet-pune.github.io/>
Self-designed learner at Swaraj University <http://www.swarajuniversity.org>
Blog <http://nikhilsheth.blogspot.in>
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enclosing a mapping of 2001-2011 village / town codes. these files were retrieved from http://egovstandards.gov.in/code-directories-of-generic-data-elements-for-land-region-codification (link at bottom), quite some time back, though that link no longer works.the big 'missing link' here is urban ward to ward mapping across 2001-2011
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Village Number | GIS AREA | Revenue Records Area |
1 | 601.91 | 888 |
2 | 144.43 | 46 |
3 | 542.76 | 591 |
4 | 109.19 | 101 |
5 | 343.24 | 418 |
6 | 94.58 | 153 |
7 | 128.16 | 125 |
8 | 348.82 | 406 |
9 | 192.34 | 205 |
10 | 386.91 | 398 |
11 | 183.28 | 192 |
12 | 201.04 | 189 |
13 | 65.26 | 60 |
14 | 241.54 | 271 |
15 | 65.57 | 41 |
16 | 264.62 | 328 |
17 | 80.66 | 72 |
18 | 272.74 | 278 |
19 | 332.67 | 267 |
20 | 263.73 | 21 |
21 | 107.21 | 139 |
22 | 32.89 | 18 |
23 | 129.43 | 106 |
24 | 35.74 | 29 |
25 | 157.12 | 151 |
26 | 75.34 | 185 |
27 | 75.34 | 180 |
28 | 80.37 | 81 |
29 | 78.60 | 322 |
30 | 332.86 | 205 |
31 | 401.28 | 443 |
32 | 115.64 | 94 |
33 | 221.42 | 156 |
34 | 289.91 | 275 |
35 | 180.00 | 189 |
36 | 38.47 | 19 |
37 | 669.13 | 686 |
38 | 195.84 | 147 |
39 | 176.93 | 204 |
40 | 237.92 | 201 |
41 | 197.96 | 93 |
42 | 178.93 | 235 |
43 | 139.76 | 199 |
44 | 150.22 | 142 |
45 | 337.39 | 362 |
46 | 140.16 | 130 |
47 | 329.78 | 297 |
48 | 148.92 | 137 |
49 | 53.27 | 61 |
50 | 189.64 | 177 |
51 | 271.95 | 301 |
52 | 537.06 | 546 |
53 | 98.52 | 112 |
54 | 216.79 | 240 |
55 | 221.72 | 221 |
56 | 169.23 | 159 |
57 | 256.80 | 172 |
58 | 244.65 | 180 |
59 | 323.52 | 342 |
60 | 155.57 | 139 |
61 | 198.16 | 226 |
62 | 551.58 | 547 |
63 | 181.48 | 154 |
64 | 191.56 | 202 |
65 | 116.32 | 75 |
66 | 222.39 | 91 |
67 | 674.67 | 477 |
68 | 131.45 | 205 |
69 | 186.58 | 180.00 |
70 | 275.32 | 192 |
71 | 161.26 | 140 |
72 | 205.72 | 184 |
73 | 153.82 | 198 |
74 | 153.15 | 147 |
75 | 122.96 | 113 |
76 | 195.78 | 148 |
77 | 88.32 | 92 |
78 | 172.03 | 88 |
79 | 38.98 | 20 |
80 | 290.14 | 213 |
81 | 140.46 | 63 |
82 | 227.49 | 217 |
83 | 315.18 | 213 |
84 | 192.45 | 297 |
85 | 148.57 | 224 |
86 | 304.51 | 228 |
87 | 330.13 | 302 |
88 | 362.33 | 303 |
89 | 842.47 | 787 |
90 | 854.31 | 301 |
91 | 413.11 | 459 |
92 | 246.49 | 196 |
93 | 141.21 | 188 |
94 | 50.20 | 43 |
95 | 224.15 | 421 |
96 | 330.24 | 320 |
97 | 257.30 | 305 |
98 | 122.78 | 126 |
99 | 76.21 | 82 |
100 | 82.24 | 77 |
101 | 281.56 | 335 |
102 | 447.84 | 622 |
103 | 163.20 | 243 |
104 | 225.56 | 98 |
105 | 77.61 | 61 |
106 | 191.88 | 132 |
107 | 166.23 | 161 |
108 | 419.17 | 497 |
109 | 179.60 | 178 |
110 | 114.45 | 53 |
111 | 129.30 | 129 |
112 | 190.41 | 72 |
113 | 152.22 | 180 |
114 | 214.67 | 244 |
115 | 51.76 | 78 |
116 | 193.90 | 267 |
117 | 133.99 | 96 |
118 | 233.88 | 224 |
119 | 106.42 | 81 |
120 | 89.75 | 51 |
121 | 120.77 | 92 |
122 | 70.04 | 84 |
Total Block | 26784.47 | 25947 |
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Dilip,