CEB data (Census Enumeration blocks)
( These datasets are licensed for use by the IIMB Community only. )
The CEB or the Census Enumeration Blocks are the most elementary census aggregates. Every national census unit has such an elementary census frame (for example, they are called "census precincts" in the United States and "first units" in some EU nations). Households are numbered serially within a CEB, and each CEB in urban India contains around 125 households or about 625 individuals.
CEB data (Census Enumeration blocks) was first released in 2017. And we have access to the following data:
1. CEB level data as per Census 2011 for the towns having a population from 50000 to 99999.
Data available for 605 towns/cities
2. CEB level data as per Census 2011 for the towns having a population from 100000 to 299999.
Data available for 356 towns/cities
3. CEB level data as per Census 2011 for the towns having a population of 300000 and more
Data available for 147 towns/cities
Available Variables are State Code, State Name, District Code, District Name, Sub-dist Code, Sub-dist Name, Town Code, Town Name, Ward Code, EB/SubEb Code, TOT_P, TOT_M, TOT_F, SC_P, SC_M, SC_F, ST_P, ST_M, ST_F
Census Enumeration Block (CEB) Data: CEB level data as per Census 2011 for the towns having a population less than 50000.
Summary |
|||
State Code |
State Name |
Number of Towns |
Total Population |
1 |
Jammu & Kashmir |
122 |
3,433,242 |
2 |
Himachal Pradesh |
59 |
688,552 |
3 |
Punjab |
217 |
10,399,146 |
4 |
Chandigarh |
6 |
1,026,459 |
5 |
Uttarakhand |
116 |
3,049,338 |
6 |
Haryana |
154 |
8,842,103 |
7 |
Nct Of Delhi |
113 |
16,368,899 |
8 |
Rajasthan |
297 |
17,048,085 |
9 |
Uttar Pradesh |
915 |
44,495,063 |
10 |
Bihar |
199 |
11,758,016 |
11 |
Sikkim |
9 |
153,578 |
12 |
Arunachal Pradesh |
27 |
317,369 |
13 |
Nagaland |
26 |
570,966 |
14 |
Manipur |
51 |
834,154 |
15 |
Mizoram |
23 |
571,771 |
16 |
Tripura |
42 |
961,453 |
17 |
Meghalaya |
22 |
595,450 |
18 |
Assam |
214 |
4,398,542 |
19 |
West Bengal |
909 |
29,093,002 |
20 |
Jharkhand |
228 |
7,933,061 |
21 |
Odisha |
223 |
7,003,656 |
22 |
Chhattisgarh |
182 |
5,937,237 |
23 |
Madhya Pradesh |
476 |
20,069,405 |
24 |
Gujarat |
348 |
25,745,083 |
25 |
Daman & Diu |
8 |
182,851 |
26 |
Dadra & Nagar Haveli |
6 |
160,595 |
27 |
Maharashtra |
535 |
50,818,259 |
28 |
Andhra Pradesh |
353 |
28,219,075 |
29 |
Karnataka |
347 |
23,625,962 |
30 |
Goa |
70 |
906,814 |
31 |
Lakshadweep |
6 |
50,332 |
32 |
Kerala |
520 |
15,934,926 |
33 |
Tamil Nadu |
1,097 |
34,917,440 |
34 |
Puducherry |
10 |
852,753 |
35 |
Andaman & Nicobar Islands |
5 |
143,488 |
|
|
7,935 |
377,106,125 |
We have also purchased data of 961 towns/cities having population between 50,000 to 3,00,000. Out of which, 605 towns/cities are in the population range of 50,000 to 99,999 and 356 towns/cities are in between 1 lakh to 3 lakh population in 2020.
Available Variables are State Code, State Name, District Code, District Name, Sub-dist Code, Sub-dist Name, Town Code, Town Name, Ward Code, EB/SubEb Code, etc.
Please let us know in case of any further queries on these datasets by sending an email to me with a cc to libraryit@iimb.ac.in