PRARANG

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PRARANG

Knowledge Webs for Smarter Governance

Kanpur Analytics

languages
City (district capitals)/DHQ

1. Bengali : 11,760
2. English Multilingual Population : 1,143
3. Santali : 122

Number Of Languages spoken by more then 30K Population : 0

Basic Details

City (District Capitals)/DHQ Population :	:	2,765,348
City(District Capitals)/DHQ Population (Rank)	:	12^th
District Area (km²)	:	3,156
District Area (Rank)	:	410^th
No.of Towns in District	:	238
No. of Villages in District	:	258

What is A.I.? FAQ

Kanpur Highlights: India City/Districts Comparison

Kanpur is the 12^th ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Kanpur District in Uttar Pradesh State. Kanpur Nagar District is 30^th highest ranked in population & 410^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Kanpur is the 4^th highest ranked in # of UG Enrolments - Arts (No,AISHE 2020) out of 768 city/districts of India. This implies that this district is more urbanized and/or has a better-developed educational infrastructure compared to other districts.

2.
The average # of PG Enrolments - Arts(No,AISHE 2020) of Indian city (district capitals)/districts is 1,087. Kanpur is the 4^th highest ranked city out of 768 city/districts. This implies that this district is more urbanized and/or has a better-developed educational infrastructure compared to other districts.

3.
Out of 768 District Capitals/Districts of India, Kanpur is the 6^th highest ranked in # of ITIS seats(No,AISHE 2020) . This implies that this district is more urbanized and/or has a better-developed educational infrastructure compared to other districts.

Worse than India Average-

1.
Kanpur is the 587^th worst ranked in Number of PSU Jobs(Number,DPE 2022, ) out of 768 city/districts of India. This indicates that this is a highly urbanized district and /or government created industrial township.

2.
The Average Number of Central Government Jobs (Number,DOE Annual Report 2018) of Indian City (District Capitals)/Districts is Kanpur is the 586^th worst ranked City out of 768 City/Districts.This indicates that this is an important district /or highly urbanised district.

3.
Out of 768 District Capitals/Districts of India, Kanpur is the 563^rd worst ranked in Number of State Government Jobs .This implies that this is an important district /or highly urbanised district.

Kanpur City/District Metrics

Culture

Nature

Internet

Kanpur Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data

Kanpur Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Famous Museum Name	Famous Museum Name	1	Kanpur Sangrahalaya
Cantt	Cantt	1	Kanpur Nagar
Zoo	Zoo	1	Kanpur Zoological Park

Airports

	Name	City	IATA Code	Distance
Airport Name	Ganesh Shanker Vidhyarthi Airport	Kanpur	KNU	6 Km

Population: 2,765,348 | Population Rank: 12^th

Area (KM²): 3,156 | Area Rank: 410^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	No of District Hospital	1	17^th	8248
2	No of Community Health Centers	9	42^nd	6407
3	No of Total Hospitals	59	69^th	9408
4	No of Primary Health Centers	47	78^th	6946
5	No of Hospital Beds	1381	170^th	8435
6	No of Doctors	1634	206^th	1923

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Nurses	3328	52^nd	2038

Negative Metrics:

Population: 2,765,348 | Population Rank: 12^th

Area (KM²): 3,156 | Area Rank: 410^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8029	26^th	8568
2	Number of Households with means of Transport as Scooter/ Motorcycle/Moped(No, Census 2011)	67856	32^nd	11139
3	Number of Households with rented houses(No, Census 2011)	36696	34^th	7191
4	Bank Deposits(Crore, RBI SCB Q4 2022)	45441	39^th	2586
5	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	21	39^th	6700
6	Number of Households with Mobile only(No, Census 2011)	169864	40^th	9953
7	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car(No, Census 2011)	15292	40^th	2000
8	Number of Banks(No, RBI SCB Q4 2022)	221	40^th	9313
9	GDP (Crores. RBI SCB 2023)	38608	44^th	9123
10	Number of Households with Internet(No, Census 2011)	10371	44^th	5548
11	Number of Households with means of Transport as Car/ Jeep/Van(No, Census 2011)	15187	46^th	9197
12	Number of Households without Internet(No, Census 2011)	20464	46^th	7073
13	Bank Credit(Crore, RBI SCB Q4 2022)	37411	46^th	2898
14	Number of Households with Television(No, Census 2011)	153607	58^th	2207
15	Number of Households with Owned houses(No, Census 2011)	273858	69^th	9445
16	GDP per Capita ('000', RBI SCB 2023)	153	101^st	9428
17	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline(No, Census 2011)	55686	188^th	1967
18	% of Households with Cars(%, Census 2011)	4	188^th	8536
19	% of Household with Mobiles(%, Census 2011)	49	211^th	2403

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Bank Deposit/Household (Lakhs, RBI SCB 2023)	51	87^th	4791
2	House Ownership % of Households(%, Census 2011)	84	111^th	1347
3	No. of Banks/1000 Household(in "1000", SCB 2023)	1	124^th	10526
4	Bank Loans/Household (Lakhs,RBI SCB 2023)	43	133^rd	8381

Negative Metrics:

Population: 2,765,348 | Population Rank: 12^th

Area (KM²): 3,156 | Area Rank: 410^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Population per sq. km. (Km, Census 2011)	1017	53^rd	10730

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Sex-Ratio (1000) (%, Census 2011)	949	331^st	5307
2	Decadal Growth Rate (2011) (%, Census 2011)	19	342^nd	9070

Negative Metrics:

Population: 2,765,348 | Population Rank: 12^th

Area (KM²): 3,156 | Area Rank: 410^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of UG Enrolments - Arts (No,AISHE 2020)	9152	4^th	10270
2	# of PG Enrolments - Arts(No,AISHE 2020)	1087	4^th	10930
3	# of ITIS seats(No,AISHE 2020)	4706	6^th	3263
4	Population (18-24) (Number, 2023)	208496	7^th	11133
5	# of Colleges(No,AISHE 2020)	56	7^th	2092
6	# of Enrolment in Private and Government Colleges(No,AISHE 2020)	36821	7^th	8664
7	# of Bachelor's Enrolment(No,AISHE 2020)	42477	7^th	3361
8	# of UG Diploma Enrolments(No,AISHE 2020)	334	7^th	9205
9	# of Total Enrolments(No,AISHE 2020)	49523	7^th	8031
10	# of UG Enrolments - Law(No,AISHE 2020)	654	8^th	9153
11	# of Master's Enrolment(No,AISHE 2020)	6137	10^th	9458
12	# of Population (0-18)(No,Census 2011)	136937	13^th	4831
13	# of Diploma(No,AISHE 2020)	3877	14^th	8061
14	# of PG Enrolments - Management(No,AISHE 2020)	591	14^th	10714
15	# of Higher Education Enrolments % of Pop(No, UDISE 2021)?	2	15^th	7038
16	# of UG Enrolments - Management(No,AISHE 2020)	719	16^th	6707
17	# of No. of Schools(No, UDISE 2021)?	1937	17^th	10284
18	# of Ph.D Enrolments(No,AISHE 2020)	275	21^st	1348
19	# of Universities(No,AISHE 2020)	1	22^nd	6614
20	# of UG Enrolments - Engg(No,AISHE 2020)	5379	22^nd	2449
21	# of PG Enrolments - Engg(No,AISHE 2020)	250	22^nd	1211
22	# of UG Enrolments - Science(No,AISHE 2020)	6311	24^th	5451
23	# of PG Enrolments - Science(No,AISHE 2020)	1015	24^th	9616
24	# of UG Enrolments - Teaching(No,AISHE 2020)	2447	26^th	6630
25	# of UG Enrolments - Medical(No,AISHE 2020)	358	26^th	4970
26	# of UG Enrolments - Commerce(No,AISHE 2020)	4172	78^th	7555
27	# of PG Enrolments - Commerce(No,AISHE 2020)	344	78^th	8044

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years)(No,AISHE 2020)	28	171^st	6843

Negative Metrics:

Population: 2,765,348 | Population Rank: 12^th

Area (KM²): 3,156 | Area Rank: 410^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Police Stations(NO, IPC 2020)	22	116^th	10876
2	Number of Panchayats(Number , Census 2011)	745	258^th	6866

Negative Metrics:

Population: 2,765,348 | Population Rank: 12^th

Area (KM²): 3,156 | Area Rank: 410^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Internet Connections(No, TRAI 2023)	593683	13^th	6993
2	Number of Facebook Users. (Estimated Maximum)(No, FB 2024)	177404	18^th	9457
3	English Speakers (Second Language + Third Language(No, Census 2011)	187044	23^rd	6998
4	Urban Internet Pop/City Pop(%, TRAI June 2023)	165	177^th	5429

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	City FB Users % of City Literate Population(%, FB 2022)	134	306^th	10807
2	Linkedin Audience Size(No, Linked in 2024)	114666	490^th	5407

Negative Metrics:

Population: 2,765,348 | Population Rank: 12^th

Area (KM²): 3,156 | Area Rank: 410^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Bengali Script	13153	84^th	2055
2	Literacy (%, Census 2023)Estd	78	221^st	7164

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	DHQ Mother Tongue Population (No, Census 2011)	254303	519^th	3127
2	English Multilingual Population	50193	571^st	10142
3	Devnagri Script (Hindi)	137058	582^nd	7489

Negative Metrics:

Population: 2,765,348 | Population Rank: 12^th

Area (KM²): 3,156 | Area Rank: 410^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Total Annual Newspaper Circulation(No, RNI 2020)	597414	45^th	1418
2	Number of Dailies or Magazines(No, RNI 2020)	222	57^th	9111

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Theatres(No, BOC 2020)	22	30^th	7316

Negative Metrics:

Population: 2,765,348 | Population Rank: 12^th

Area (KM²): 3,156 | Area Rank: 410^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Urban Population(Number , Census 2011)	495956	20^th	9248
2	# of Households that use LPG/PNG as fuel for Cooking	93956	34^th	1695
3	Number of households having latrine facility within the premises	153026	44^th	3622
4	Number of households(Number , Census 2011)	318214	50^th	2113
5	Urbanization(% , Census 2011)	24	56^th	9852
6	# of Households that use Electricity as fuel for Cooking	282	56^th	8964
7	# of Households with 1 married couple	223006	59^th	4238
8	# of Households with Location of drinking water source within premises	150461	60^th	10804
9	# of Households with Main source of Lighting as Solar Energy	1378	70^th	5944
10	# of Households with Main source of Lighting as Electricity	217194	82^nd	1656
11	# of Uninhabited Villages	54	125^th	9540
12	# of Inhabited Villages	747	259^th	2756

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of towns(Number , Census 2011)	10	15^th	7926

Negative Metrics:

Population: 2,765,348 | Population Rank: 12^th

Area (KM²): 3,156 | Area Rank: 410^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Working Population 2023(Number,Census 2011)	1121530	30^th	3239

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Private Jobs( Number, Labour Ministry Quarterly employment Survey 2022)	16177	459^th	10787
2	Number of Companies	1876	502^nd	8379
3	Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee)	760882	518^th	10504
4	Number of Formal Jobs(Sum,DPE 2022)	62963	562^nd	2759
5	Number of State Government Jobs	25127	563^rd	4505
6	Number of Central Government Jobs (Number,DOE Annual Report 2018)	2531	586^th	1467
7	Number of PSU Jobs(Number,DPE 2022, )	816	587^th	4846

Negative Metrics:

Q - Why is all Prarang India comparative analysis being done for 768 Districts & their respective D.H.Q. (District Head Quarter) towns?
A - The Indian geography has historically been measured by " Districts". Today, it is politically managed by States & U.T.s ( Union Territories) but the unit of measurement ( Census baseline) continues to focus on the District, for over 150 years now. " All India" thus is a sum of the district parts i.e. sum of 768 districts currently ( which were 640 districts only, when the last Census took place in 2011). Contrary to popular perception, most data being reported at a State & U.T. level, is not being aggregated from underlying data at an urban (towns) & rural(villages) level. India has approx. 9000 towns & 600000 villages, segregated into 768 districts, each with its respective DHQ (District Head Quarter) town. Except for the largest 20 towns ( Metropolitan agglomerations) where some detailed data is gathered by the Central Government census, only basic demographic details are available for India's cities. Detailed survey results of the District are the most important data points, used to model & estimate the City & State level information in India. The 768 DHQ ( District Head Quarter) towns & 8 Union Territories, are the important Urban metrics available in India, for comparative analysis. Big data of a big & diverse country.

Q - Does Prarang do surveys to collect data ? How does Prarang have such granular district level details which no private or public data source offers ?
A - Prarang does not do surveys to collect data. We mostly use Public sources of data - both government census, surveys, reports and private surveys whose results are available in news media & public websites. We follow a three-fold Indian logic ( Tarkashastra) method of information/data classification - We collect Pramana ( Evidence based i.e. Census, Reliable Surveys etc) data & then do Anumana ( Estimation modelling ) to Geo tag fill data in the residual Districts/DHQ (District HQ), to ensure data completion for "All India". We then do Upamana ( comparison) i.e. rank all districts/DHQs for a relative comparison. For each data field, the Samana ( Country Average) is calculated to again rank all districts/DHQs on Rank Above or Rank Below the Samana/Average. All our data sources, and our estimation modeling methods are transparently shared on each data field title , and can be accessed by clicking on the "i" icon.

Q - What data does Prarang offer for free & what do we have to pay for ? How do we pay & will an invoice with GST details be available on payment ?
A - All Upamana ( comparison ranks of India locations) is available for free. Currently, ranks for each of the 768 India districts/DHQs ,in over 350+ data fields , are available on Prarang Analytics. There are 3 India Analytic products ( India Market Planner, India Ad Planner & India Development Planner) with respective Standard data-field available for free comparison & free sharing, for a limited period of time. But one can optionally add any of the additional data fields ( absolute data) & juxtapose them for download against the standard data-fields, for a charge. Depending on how many Cities/Districts & how many optional data-fields are selected, your cart will reflect the total amount required to be paid. Payment can be done using the payment gateway, in the final step. An invoice with GST details will be auto-generated on successful payment.

Q - Does Prarang take responsibility for the absolute data fields which we buy from it, along with the calculation of the associated ranks ?
A - Prarang does not do any surveys. It does data modelling & estimations on the basis of the third- party census & surveys, already in the public domain. It also shares the source of the data it uses. Users need to make their own judgement of how, for what purpose & when they use the data which they download from this Prarang website.

Q - What is the frequency of data update on various data-fields of Prarang analytics ?
A - We are continuously on the lookout for market announcements of new surveys & new data. You can expect important government survey results to be live on our website, within 30 to 45 days after appearing in press/media. We model on spreadsheets & update our SQL databases, after data validation. Many government sources are following a regular frequency (Eg. RBI (Reserve Bank of India) data, TRAI (Telecom Regulatory Authority of India) etc) however, many other data-fields including GDP by State & Crime Rates by State, are not being reported at a regular frequency.