Prarang: G2C

Unnao Analytics

languages
City (district capitals)/DHQ

1. Hindi : 165,789
2. English Multilingual Population : 17,089
3. Urdu : 11,588

Number Of Languages spoken by more then 30K Population : 1

Basic Details

City (District Capitals)/DHQ Population :	:	177,658
City(District Capitals)/DHQ Population (Rank)	:	228^th
District Area (km²)	:	4,561
District Area (Rank)	:	244^th
No.of Towns in District	:	83
No. of Villages in District	:	79

What is A.I.? FAQ

Unnao Highlights: India City/Districts Comparison

Unnao is the 228^th ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Unnao District in Uttar Pradesh State. Unnao District is 93^rd highest ranked in population & 244^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Unnao is the 43^rd highest ranked in No of District Hospital out of 768 city/districts of India. This indicates that health infrastructure in this district is better than other districts.

2.
The average # of Households with Main source of Lighting as Solar Energy of Indian city (district capitals)/districts is 1,378. Unnao is the 51^st highest ranked city out of 768 city/districts. This indicates that the government has placed a greater emphasis on green energy in this district compared to other districts.

3.
Out of 768 District Capitals/Districts of India, Unnao is the 79^th highest ranked in Number of Panchayats(Number , Census 2011) . This indicates that this district has more decentralized governance as compare to other districts.

4.
Out of 768 District Capitals/Districts of India Unnao is the 67^th best ranked in Murder/Lakh Pop(Ratio, IPC 2020) . This indicates a safer district as compared to other districts.

5.
Unnao is the 57^th best ranked in Number of Missing Persons(NO, IPC 2020) out of 768 City/Districts of India. This indicates a safer district as compared to other districts.

Worse than India Average-

1.
Unnao is the 76^th worst ranked in Number of Cyber Crimes(NO, IPC 2020) out of 768 city/districts of India. This indicates a safer district as compared to other districts.

2.
The Average Number of IPC Crimes(NO, IPC 2020) of Indian City (District Capitals)/Districts is Unnao is the 136^th worst ranked City out of 768 City/Districts.This indicates a safer district as compared to other districts.

3.
Out of 768 District Capitals/Districts of India, Unnao is the 180^th worst ranked in Number of Murders(NO, IPC 2020) .This indicates a safer district as compared to other districts.

4.
Out of 768 District Capitals/Districts of India, Unnao is the 552^nd worst ranked in Bank Loans/Household (Lakhs,RBI SCB 2023) .This indicates that economic condition of people in this district is better compared to people in other districts.

5.
Unnao is the 475^th highest ranked in Bank Deposit/Household (Lakhs, RBI SCB 2023) out of 768 City/Districts of India.This implies that financial activities in this district is more compared to other districts.

6.
The Average GDP per Capita ('000', RBI SCB 2023) of Indian City(District Capitals)/Districts is 153. Unnao is the 410^th highest ranked City out of 768 City/Districts.This implies that this district is highly urbanised / high GDP top 40 metropolis.

Unnao City/District Metrics

Culture

Nature

Internet

Unnao Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
Ab. Prod (Mn Tonnes) Maize Production	Ab. Prod (Mn Tonnes) Maize Production	0.02%	54^th	3875
Ab. Prod (000' tonnes ) Potatoes Production	Ab. Prod (000' tonnes ) Potatoes Production	0.29%	252^nd	6543
Ab. Prod (Mn Tonnes) Sugarcane Production	Ab. Prod (Mn Tonnes) Sugarcane Production	0.08%	260^th	10894
Ab. Prod (Mn tonnes) Rice Production	Ab. Prod (Mn tonnes) Rice Production	0.52%	262^nd	10721
Ab. Prod (000' Tonnes) Onion Production	Ab. Prod (000' Tonnes) Onion Production	0.17%	312^th	4270
Ab. Prod (Mn tonn) Wheat Production	Ab. Prod (Mn tonn) Wheat Production	0.74%	346^th	6937

Unnao Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Princely State	Princely State	1	Purwa

Airports

	Name	City	IATA Code	Distance
Airport Name	Ganesh Shanker Vidhyarthi Airport	Kanpur	KNU	11 Km

Population: 177,658 | Population Rank: 228^th

Area (KM²): 4,561 | Area Rank: 244^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	No of District Hospital	1	43^rd	9917
2	No of Community Health Centers	9	132^nd	7968
3	No of Total Hospitals	59	204^th	9507
4	No of Primary Health Centers	47	214^th	4121

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Hospital Beds	1381	10^th	10516
2	No of Doctors	1634	52^nd	1372
3	No of Nurses	3328	157^th	5290

Negative Metrics:

Population: 177,658 | Population Rank: 228^th

Area (KM²): 4,561 | Area Rank: 244^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	House Ownership % of Households(%, Census 2011)	84	100^th	10801
2	Number of Households with Owned houses(No, Census 2011)	273858	105^th	1866
3	Number of Households with Mobile only(No, Census 2011)	169864	143^rd	9208
4	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8029	145^th	7864
5	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	21	153^rd	4132
6	Number of Households without Internet(No, Census 2011)	20464	195^th	10823
7	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline(No, Census 2011)	55686	198^th	5148
8	Number of Households with means of Transport as Scooter/ Motorcycle/Moped(No, Census 2011)	67856	202^nd	5822
9	% of Household with Mobiles(%, Census 2011)	49	439^th	6250

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Households with Television(No, Census 2011)	153607	13^th	2085
2	Number of Households with means of Transport as Car/ Jeep/Van(No, Census 2011)	15187	65^th	5690
3	Number of Banks(No, RBI SCB Q4 2022)	221	96^th	4181
4	Number of Households with rented houses(No, Census 2011)	36696	148^th	3472
5	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car(No, Census 2011)	15292	150^th	4902
6	Bank Deposits(Crore, RBI SCB Q4 2022)	45441	167^th	2894
7	GDP (Crores. RBI SCB 2023)	38608	172^nd	4292
8	Number of Households with Internet(No, Census 2011)	10371	174^th	9649
9	% of Households with Cars(%, Census 2011)	4	269^th	1391
10	Bank Credit(Crore, RBI SCB Q4 2022)	37411	395^th	3896
11	GDP per Capita ('000', RBI SCB 2023)	153	410^th	10490
12	Bank Deposit/Household (Lakhs, RBI SCB 2023)	51	475^th	5717
13	Bank Loans/Household (Lakhs,RBI SCB 2023)	43	552^nd	1199

Negative Metrics:

Population: 177,658 | Population Rank: 228^th

Area (KM²): 4,561 | Area Rank: 244^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Population per sq. km. (Km, Census 2011)	1017	89^th	3147
2	Decadal Growth Rate (2011) (%, Census 2011)	19	158^th	7956
3	Sex-Ratio (1000) (%, Census 2011)	949	189^th	1313

Negative Metrics:

Population: 177,658 | Population Rank: 228^th

Area (KM²): 4,561 | Area Rank: 244^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of No. of Schools(No, UDISE 2021)?	1937	82^nd	5188
2	# of UG Enrolments - Arts (No,AISHE 2020)	9152	109^th	3361
3	# of PG Enrolments - Arts(No,AISHE 2020)	1087	109^th	10528
4	# of UG Diploma Enrolments(No,AISHE 2020)	334	139^th	4096
5	# of ITIS seats(No,AISHE 2020)	4706	144^th	4680

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of UG Enrolments - Law(No,AISHE 2020)	654	3^rd	3298
2	# of Colleges(No,AISHE 2020)	56	5^th	5897
3	# of Enrolment in Private and Government Colleges(No,AISHE 2020)	36821	21^st	10807
4	Population (18-24) (Number, 2023)	208496	28^th	10420
5	# of Bachelor's Enrolment(No,AISHE 2020)	42477	34^th	7395
6	# of Total Enrolments(No,AISHE 2020)	49523	37^th	5653
7	# of Population (0-18)(No,Census 2011)	136937	55^th	8837
8	# of Master's Enrolment(No,AISHE 2020)	6137	61^st	2588
9	# of UG Enrolments - Management(No,AISHE 2020)	719	80^th	3383
10	# of PG Enrolments - Management(No,AISHE 2020)	591	86^th	7110
11	# of Diploma(No,AISHE 2020)	3877	88^th	10347
12	# of UG Enrolments - Science(No,AISHE 2020)	6311	98^th	10032
13	# of PG Enrolments - Science(No,AISHE 2020)	1015	98^th	7717
14	# of Ph.D Enrolments(No,AISHE 2020)	275	138^th	7681
15	# of Universities(No,AISHE 2020)	1	141^st	9468
16	# of UG Enrolments - Medical(No,AISHE 2020)	358	173^rd	1430
17	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years)(No,AISHE 2020)	28	179^th	4671
18	# of UG Enrolments - Engg(No,AISHE 2020)	5379	191^st	6445
19	# of PG Enrolments - Engg(No,AISHE 2020)	250	191^st	4958
20	# of UG Enrolments - Teaching(No,AISHE 2020)	2447	193^rd	6646
21	# of UG Enrolments - Commerce(No,AISHE 2020)	4172	273^rd	8270
22	# of PG Enrolments - Commerce(No,AISHE 2020)	344	276^th	9960
23	# of Higher Education Enrolments % of Pop(No, UDISE 2021)?	2	332^nd	4794

Negative Metrics:

Population: 177,658 | Population Rank: 228^th

Area (KM²): 4,561 | Area Rank: 244^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Panchayats(Number , Census 2011)	745	79^th	4349
2	Number of Police Stations(NO, IPC 2020)	22	258^th	8314

Negative Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Cyber Crimes(NO, IPC 2020)	25	76^th	7796
2	Number of IPC Crimes(NO, IPC 2020)	2801	136^th	7700
3	Number of Murders(NO, IPC 2020)	25	180^th	8759
4	Crime/1000 Pop(Ratio, IPC 2020)	1	262^nd	4017

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Missing Persons(NO, IPC 2020)	267	57^th	6391
2	Murder/Lakh Pop(Ratio, IPC 2020)	1	67^th	6846

Population: 177,658 | Population Rank: 228^th

Area (KM²): 4,561 | Area Rank: 244^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Urban Internet Pop/City Pop(%, TRAI June 2023)	165	235^th	6791

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Internet Connections(No, TRAI 2023)	593683	79^th	1760
2	Number of Facebook Users. (Estimated Maximum)(No, FB 2024)	177404	97^th	3938
3	English Speakers (Second Language + Third Language(No, Census 2011)	187044	135^th	10321
4	Linkedin Audience Size(No, Linked in 2024)	114666	193^rd	10730
5	City FB Users % of City Literate Population(%, FB 2022)	134	220^th	5637

Negative Metrics:

Population: 177,658 | Population Rank: 228^th

Area (KM²): 4,561 | Area Rank: 244^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Devnagri Script (Hindi)	137058	111^th	7788

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	DHQ Mother Tongue Population (No, Census 2011)	254303	41^st	3665
2	Perso-Arabic Script (Urdu)	33190	80^th	6161
3	Script Pools # < 30,000	1	154^th	7385
4	English Multilingual Population	50193	166^th	10069
5	Literacy (%, Census 2023)Estd	78	209^th	8045
6	Gurumukhi Script (Punjabi)	10774	212^th	5912
7	Latin Script (English)	2647	273^rd	9370
8	Malayalam Script	6112	361^st	3075
9	Odia Script	5442	391^st	8465
10	Tamil Script	23886	520^th	6481
11	Bengali Script	13153	576^th	5487

Negative Metrics:

Population: 177,658 | Population Rank: 228^th

Area (KM²): 4,561 | Area Rank: 244^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	95^th	9830
2	Number of Dailies or Magazines(No, RNI 2020)	222	125^th	8536

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Theatres(No, BOC 2020)	22	340^th	2361

Negative Metrics:

Population: 177,658 | Population Rank: 228^th

Area (KM²): 4,561 | Area Rank: 244^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of Households with Main source of Lighting as Solar Energy	1378	51^st	4209
2	# of Inhabited Villages	747	79^th	10951
3	Number of towns(Number , Census 2011)	10	86^th	7504
4	# of Households that use Electricity as fuel for Cooking	282	103^rd	5530
5	# of Uninhabited Villages	54	121^st	10386
6	Number of households(Number , Census 2011)	318214	126^th	4697
7	# of Households with 1 married couple	223006	128^th	1778
8	# of Households with Location of drinking water source within premises	150461	183^rd	2605
9	Urban Population(Number , Census 2011)	495956	189^th	4517

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of households having latrine facility within the premises	153026	10^th	2399
2	# of Households that use LPG/PNG as fuel for Cooking	93956	36^th	7029
3	Urbanization(% , Census 2011)	24	114^th	2703
4	# of Households with Main source of Lighting as Electricity	217194	153^rd	4618

Negative Metrics:

Population: 177,658 | Population Rank: 228^th

Area (KM²): 4,561 | Area Rank: 244^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	93^rd	11021

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	50^th	10782
2	Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee)	760882	66^th	4116
3	Number of Formal Jobs(Sum,DPE 2022)	62963	91^st	5863
4	Number of Companies	1876	110^th	8921
5	Number of State Government Jobs	25127	120^th	8811
6	Number of Central Government Jobs (Number,DOE Annual Report 2018)	2531	136^th	3583
7	Number of PSU Jobs(Number,DPE 2022, )	816	136^th	9312
8	Formal Jobs as a % of working Pop(%,DPE 2022)	2	383^rd	8779
9	Govt Jobs as a % of Working Population(%,DPE 2022)	2	397^th	10091

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.

PRARANG

Knowledge Webs for Smarter Governance

PRARANG

Unnao Analytics