Prarang: G2C

Hapur Analytics

languages
City (district capitals)/DHQ

1. Hindi : 211,861
2. Urdu : 48,128
3. English Multilingual Population : 25,296

Number Of Languages spoken by more then 30K Population : 2

Basic Details

City (District Capitals)/DHQ Population :	:	262,983
City(District Capitals)/DHQ Population (Rank)	:	118^th
District Area (km²)	:	660
District Area (Rank)	:	717^th
No.of Towns in District	:	501
No. of Villages in District	:	531

What is A.I.? FAQ

Hapur Highlights: India City/Districts Comparison

Hapur is the 118^th ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Hapur District in Uttar Pradesh State. Hapur District is 372^nd highest ranked in population & 717^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Hapur is the 28^th highest ranked in Population per sq. km. (Km, Census 2011) out of 768 city/districts of India. This implies that this district has a higher birth rate and/or higher attractiveness for migrants.

2.
The average Decadal Growth Rate (2011) (%, Census 2011) of Indian city (district capitals)/districts is 19. Hapur is the 35^th highest ranked city out of 768 city/districts. This implies that this district has a higher birth rate and/or higher attractiveness for migrants.

3.
Out of 768 District Capitals/Districts of India, Hapur is the 38^th highest ranked in AEGR (2011) (District) . This indicates that this district has a higher birth rate and/or higher attractiveness for migrants.

4.
Out of 768 District Capitals/Districts of India Hapur is the 126^th best ranked in Number of Missing Persons(NO, IPC 2020) . This indicates a safer district as compared to other districts.

Worse than India Average-

1.
Hapur is the 77^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 Murders(NO, IPC 2020) of Indian City (District Capitals)/Districts is Hapur 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, Hapur is the 187^th worst ranked in Murder/Lakh Pop(Ratio, IPC 2020) .This indicates a safer district as compared to other districts.

4.
Out of 768 District Capitals/Districts of India, Hapur is the 443^rd worst ranked in District Area (Sq Km) .This implies that this district has a higher access to natural resources compared to other districts.

5.
Hapur is the 393^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.

6.
The Average City FB Users % of City Literate Population(%, FB 2022) of Indian City(District Capitals)/Districts is 134. Hapur is the 393^rd highest ranked City out of 768 City/Districts.This indicates higher facebook IDs in FB Advertising module for this town vis a vis other towns.

Hapur City/District Metrics

Culture

Nature

Internet

Hapur Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
Ab. Prod (Mn tonnes) Rice Production	Ab. Prod (Mn tonnes) Rice Production	0.34%	238^th	5865
Ab. Prod (000' tonnes ) Potatoes Production	Ab. Prod (000' tonnes ) Potatoes Production	0.56%	279^th	1899
Ab. Prod (Mn Tonnes) Maize Production	Ab. Prod (Mn Tonnes) Maize Production	0.34%	306^th	3526
Ab. Prod (000' Tonnes) Onion Production	Ab. Prod (000' Tonnes) Onion Production	0.15%	308^th	7579
Ab. Prod (Mn Tonnes) Sugarcane Production	Ab. Prod (Mn Tonnes) Sugarcane Production	0.71%	316^th	7951
Ab. Prod (Mn tonn) Wheat Production	Ab. Prod (Mn tonn) Wheat Production	1.07%	374^th	8033

Hapur Culture Highlights

Sr.No	Culture Metrics	Counts	Name

Airports

	Name	City	IATA Code	Distance
Airport Name	Indira Gandhi International Airport	New Delhi	DEL	43 Km

No Data found.

Population: 262,983 | Population Rank: 118^th

Area (KM²): 660 | Area Rank: 717^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Community Health Centers	9	156^th	4307
2	No of Hospital Beds	1381	181^st	10516
3	No of Total Hospitals	59	182^nd	7771
4	No of Primary Health Centers	47	190^th	9240
5	No of Doctors	1634	254^th	1555
6	No of Nurses	3328	340^th	9019
7	No of District Hospital	1	393^rd	1257

Negative Metrics:

Population: 262,983 | Population Rank: 118^th

Area (KM²): 660 | Area Rank: 717^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	% of Household with Mobiles(%, Census 2011)	49	39^th	7671
2	% of Households with Cars(%, Census 2011)	4	41^st	3688
3	Number of Households with Internet(No, Census 2011)	10371	102^nd	9522
4	Number of Households with means of Transport as Car/ Jeep/Van(No, Census 2011)	15187	122^nd	7287
5	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car(No, Census 2011)	15292	122^nd	6656
6	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	21	270^th	7791

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Households without Internet(No, Census 2011)	20464	16^th	8145
2	Number of Households with rented houses(No, Census 2011)	36696	45^th	2281
3	Number of Households with means of Transport as Scooter/ Motorcycle/Moped(No, Census 2011)	67856	53^rd	1999
4	Number of Households with Television(No, Census 2011)	153607	56^th	5560
5	House Ownership % of Households(%, Census 2011)	84	77^th	10310
6	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8029	104^th	6270
7	Number of Households with Mobile only(No, Census 2011)	169864	106^th	2396
8	Number of Households with Owned houses(No, Census 2011)	273858	163^rd	6485
9	Number of Banks(No, RBI SCB Q4 2022)	221	172^nd	9647
10	No. of Banks/1000 Household(in "1000", SCB 2023)	1	243^rd	7813
11	GDP (Crores. RBI SCB 2023)	38608	250^th	6439
12	Bank Deposit/Household (Lakhs, RBI SCB 2023)	51	252^nd	10755
13	Bank Deposits(Crore, RBI SCB Q4 2022)	45441	253^rd	2224
14	Bank Loans/Household (Lakhs,RBI SCB 2023)	43	276^th	9322
15	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline(No, Census 2011)	55686	305^th	3881
16	Bank Credit(Crore, RBI SCB Q4 2022)	37411	314^th	10975
17	GDP per Capita ('000', RBI SCB 2023)	153	349^th	6365

Negative Metrics:

Population: 262,983 | Population Rank: 118^th

Area (KM²): 660 | Area Rank: 717^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	28^th	2587
2	Decadal Growth Rate (2011) (%, Census 2011)	19	35^th	9493

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Sex-Ratio (1000) (%, Census 2011)	949	279^th	7953

Negative Metrics:

Population: 262,983 | Population Rank: 118^th

Area (KM²): 660 | Area Rank: 717^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	72^nd	9687
2	# of PG Enrolments - Arts(No,AISHE 2020)	1087	72^nd	10580
3	# of UG Enrolments - Law(No,AISHE 2020)	654	97^th	7754
4	# of Population (0-18)(No,Census 2011)	136937	98^th	7530
5	# of ITIS seats(No,AISHE 2020)	4706	100^th	5034
6	# of UG Diploma Enrolments(No,AISHE 2020)	334	102^nd	2430
7	# of Colleges(No,AISHE 2020)	56	105^th	4495
8	# of Enrolment in Private and Government Colleges(No,AISHE 2020)	36821	114^th	6656
9	# of Bachelor's Enrolment(No,AISHE 2020)	42477	119^th	2289
10	# of Total Enrolments(No,AISHE 2020)	49523	119^th	3251
11	# of Higher Education Enrolments % of Pop(No, UDISE 2021)?	2	122^nd	10395
12	Population (18-24) (Number, 2023)	208496	129^th	10033
13	# of Master's Enrolment(No,AISHE 2020)	6137	147^th	5545

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of UG Enrolments - Management(No,AISHE 2020)	719	7^th	7361
2	# of PG Enrolments - Management(No,AISHE 2020)	591	10^th	8077
3	# of Diploma(No,AISHE 2020)	3877	20^th	2448
4	# of UG Enrolments - Science(No,AISHE 2020)	6311	44^th	8091
5	# of PG Enrolments - Science(No,AISHE 2020)	1015	44^th	4687
6	# of Ph.D Enrolments(No,AISHE 2020)	275	49^th	8529
7	# of No. of Schools(No, UDISE 2021)?	1937	53^rd	1537
8	# of UG Enrolments - Medical(No,AISHE 2020)	358	91^st	8183
9	# of UG Enrolments - Engg(No,AISHE 2020)	5379	97^th	3023
10	# of PG Enrolments - Engg(No,AISHE 2020)	250	97^th	3301
11	# of UG Enrolments - Teaching(No,AISHE 2020)	2447	104^th	1400
12	# of UG Enrolments - Commerce(No,AISHE 2020)	4172	210^th	9256
13	# of PG Enrolments - Commerce(No,AISHE 2020)	344	212^th	5320
14	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years)(No,AISHE 2020)	28	221^st	5224
15	# of Universities(No,AISHE 2020)	1	241^st	6518

Negative Metrics:

Population: 262,983 | Population Rank: 118^th

Area (KM²): 660 | Area Rank: 717^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Panchayats(Number , Census 2011)	745	210^th	6736
2	Number of Police Stations(NO, IPC 2020)	22	281^st	4519

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	77^th	4684
2	Number of Murders(NO, IPC 2020)	25	136^th	3329
3	Murder/Lakh Pop(Ratio, IPC 2020)	1	187^th	6211
4	Number of IPC Crimes(NO, IPC 2020)	2801	244^th	9811
5	Crime/1000 Pop(Ratio, IPC 2020)	1	329^th	10370

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Missing Persons(NO, IPC 2020)	267	126^th	11237

Population: 262,983 | Population Rank: 118^th

Area (KM²): 660 | Area Rank: 717^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Internet Connections(No, TRAI 2023)	593683	15^th	4835
2	English Speakers (Second Language + Third Language(No, Census 2011)	187044	58^th	1540
3	Number of Facebook Users. (Estimated Maximum)(No, FB 2022)	395157	94^th	6707
4	Linkedin Audience Size(No, Linked in 2023)	114666	169^th	4369
5	Urban Internet Pop/City Pop(%, TRAI June 2023)	165	391^st	4011
6	City FB Users % of City Literate Population(%, FB 2022)	134	393^rd	7617

Negative Metrics:

Population: 262,983 | Population Rank: 118^th

Area (KM²): 660 | Area Rank: 717^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Devnagri Script (Hindi)	137058	67^th	11048
2	Perso-Arabic Script (Urdu)	33190	67^th	5274
3	DHQ Mother Tongue Population (No, Census 2011)	254303	108^th	8894
4	Script Pools # < 30,000	1	242^nd	1922
5	Literacy (%, Census 2023)Estd	78	284^th	1699

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Gurumukhi Script (Punjabi)	10774	29^th	6652
2	Assamese Script	3229	66^th	5423
3	English Multilingual Population	50193	89^th	10281
4	Odia Script	5442	133^rd	4726
5	Kannada Script	23603	242^nd	10588
6	Bengali Script	13153	304^th	7224
7	Malayalam Script	6112	315^th	4259
8	Marathi Script	27903	316^th	10871
9	Gujarati Script	25953	320^th	3336
10	Telugu Script	39429	402^nd	10775
11	Latin Script (English)	2647	554^th	9253
12	Tamil Script	23886	571^st	7038

Negative Metrics:

Population: 262,983 | Population Rank: 118^th

Area (KM²): 660 | Area Rank: 717^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	219^th	4934

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Dailies or Magazines(No, RNI 2020)	222	31^st	5787

Negative Metrics:

Population: 262,983 | Population Rank: 118^th

Area (KM²): 660 | Area Rank: 717^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of Households that use LPG/PNG as fuel for Cooking	93956	201^st	3981
2	Urbanization(% , Census 2011)	24	250^th	3931

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	28^th	8157
2	# of Households with Location of drinking water source within premises	150461	29^th	2681
3	# of Households that use Electricity as fuel for Cooking	282	46^th	3730
4	Urban Population(Number , Census 2011)	495956	61^st	1665
5	# of Households with Main source of Lighting as Electricity	217194	96^th	4662
6	Number of households(Number , Census 2011)	318214	163^rd	5374
7	# of Households with 1 married couple	223006	174^th	5629
8	# of Households with Main source of Lighting as Solar Energy	1378	202^nd	3177
9	# of Inhabited Villages	747	210^th	6603
10	# of Uninhabited Villages	54	219^th	6123
11	Number of towns(Number , Census 2011)	10	321^st	8321

Negative Metrics:

Population: 262,983 | Population Rank: 118^th

Area (KM²): 660 | Area Rank: 717^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Private Jobs( Number, Labour Ministry Quarterly employment Survey 2022)	16177	97^th	6862
2	Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee)	760882	111^th	10728
3	Number of Formal Jobs(Sum,DPE 2022)	62963	131^st	8411
4	Number of State Government Jobs	25127	158^th	6587

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Central Government Jobs (Number,DOE Annual Report 2018)	2531	22^nd	8767
2	Number of PSU Jobs(Number,DPE 2022, )	816	22^nd	10203
3	Formal Jobs as a % of working Pop(%,DPE 2022)	2	46^th	10185
4	Number of Companies	1876	52^nd	2246
5	Working Population 2023(Number,Census 2011)	1121530	59^th	8552
6	Govt Jobs as a % of Working Population(%,DPE 2022)	2	68^th	6619

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.

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