Prarang: G2C

Mathura Analytics

languages
City (district capitals)/DHQ

1. Hindi : 338,973
2. English Multilingual Population : 33,658
3. Urdu : 9,222

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

Basic Details

City (District Capitals)/DHQ Population :	:	349,909
City(District Capitals)/DHQ Population (Rank)	:	112^th
District Area (km²)	:	3,333
District Area (Rank)	:	389^th
No.of Towns in District	:	59
No. of Villages in District	:	327

What is A.I.? FAQ

Mathura Highlights: India City/Districts Comparison

Mathura is the 112^th ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Mathura District in Uttar Pradesh State. Mathura District is 123^rd highest ranked in population & 389^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Mathura is the 3^rd highest ranked in # of Higher Education Enrolments % of Pop (No, UDISE 2021) out of 768 city/districts of India. This indicates that this district is more urbanized and/or has a better-developed educational infrastructure compared to other districts.

2.
The average % of Household with Mobiles (%, Census 2011) of Indian city (district capitals)/districts is 51. Mathura is the 31^st highest ranked city out of 768 city/districts. This indicates that economic condition of people in this district is better compared to people in other districts.

3.
Out of 768 District Capitals/Districts of India, Mathura is the 57^th highest ranked in Devnagri Script (Hindi) . This indicates a high pool of literate hindi population compared to other cities.

4.
Out of 768 District Capitals/Districts of India Mathura is the 1^st 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.
Mathura is the 20^th worst ranked in Number of Cyber Crimes (NO, IPC 2020) out of 768 city/districts of India. This implies lesser effectiveness of law and order in this district compared to other districts.

2.
The Average Number of Murders (NO, IPC 2020) of Indian City (District Capitals)/Districts is Mathura is the 36^th worst ranked City out of 768 City/Districts.This implies lesser effectiveness of law and order in this district compared to other districts.

3.
Out of 768 District Capitals/Districts of India, Mathura is the 48^th worst ranked in Number of IPC Crimes (NO, IPC 2020) .This implies lesser effectiveness of law and order in this district compared to other districts.

4.
Out of 768 District Capitals/Districts of India, Mathura is the 631^st worst ranked in Number of Facebook Users. (Estimated Maximum)(No, Dec. 2024) .This indicates lower facebook IDs in FB Advertising module for this town vis a vis other towns.

5.
Mathura is the 628^th highest ranked in Bank Deposits (Crore, RBI SCB Q4 2022) out of 768 City/Districts of India.This implies that this district is less urbanised compared to other districts.

6.
The Average # of UG Enrolments - Science (No, AISHE 2020) of Indian City(District Capitals)/Districts is 6311. Mathura is the 625^th highest ranked City out of 768 City/Districts.This indicates that this district is less urbanised and/or has a less developed educational infrastructure compared to other districts

Mathura City/District Metrics

Culture

Nature

Internet

Mathura Nature Highlights

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

Mathura Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Famous Hindu Temples	Famous Hindu Temples	1	Dwarkadheesh temple
Famous Museum Name	Famous Museum Name	1	Government Museum, Mathura
Cantt	Cantt	1	Mathura

Airports

	Name	City	IATA Code	Distance
Airport Name	Pandit Deen Dayal Upadhyay Airport	Agra	AGR	30 Km

Population: 349,909 | Population Rank: 112^th

Area (KM²): 3,333 | Area Rank: 389^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	No of District Hospital	1	65^th	9011
2	No of Community Health Centers	9	185^th	6255
3	No of Total Hospitals	59	272^nd	7616
4	No of Primary Health Centers	47	279^th	1899

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Sub Divisional Hospital	1	1^st	5422
2	No of Nurses	3390	344^th	4432
3	No of Doctors	1729	438^th	8058
4	No of Hospital Beds	1599	470^th	4189

Negative Metrics:

Population: 349,909 | Population Rank: 112^th

Area (KM²): 3,333 | Area Rank: 389^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)	51	31^st	9065
2	No. of Banks/1000 Household (in "1000", SCB 2023)	1	102^nd	2890
3	Number of Households with means of Transport as Scooter/ Motorcycle/Moped (No, Census 2011)	69577	119^th	7742
4	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	5863	119^th	3679
5	Number of Banks (No, RBI SCB Q4 2022)	176	136^th	9813
6	Number of Households with Mobile only (No, Census 2011)	174173	139^th	9106
7	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car (No, Census 2011)	15680	150^th	1794
8	Number of Households with Television (No, Census 2011)	157504	163^rd	10799
9	Number of Households without Internet (No, Census 2011)	20983	165^th	8823
10	Number of Households with means of Transport as Car/ Jeep/Van (No, Census 2011)	15572	177^th	7894
11	Number of Households with Owned houses (No, Census 2011)	280805	180^th	8957
12	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	27	214^th	1418
13	House Ownership % of Households (%, Census 2011)	86	252^nd	3994
14	% of Households with Cars (%, Census 2011)	4	262^nd	3542

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Bank Loans/Household (Lakhs, RBI SCB 2023)	8	330^th	3879
2	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline (No, Census 2011)	57099	427^th	8209
3	GDP per Capita ('000', RBI SCB 2023)	118	474^th	8219
4	Bank Deposit/Household (Lakhs, RBI SCB 2023)	12	494^th	9790
5	Number of Households with rented houses (No, Census 2011)	37627	501^st	6187
6	Bank Credit (Crore, RBI SCB Q4 2022)	18218	575^th	5142
7	Number of Households with Internet (No, Census 2011)	10634	605^th	3363
8	GDP (Crores. RBI SCB 2023)	27789	607^th	7299
9	Bank Deposits (Crore, RBI SCB Q4 2022)	24082	628^th	9349

Negative Metrics:

Population: 349,909 | Population Rank: 112^th

Area (KM²): 3,333 | Area Rank: 389^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Decadal Growth Rate (2011) (%, Census 2011)	19	195^th	9452

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Sex-Ratio (1000) (%, Census 2011)	949	33^rd	6433
2	Population per sq. km. (Km, Census 2011)	1023	592^nd	9699

Negative Metrics:

Population: 349,909 | Population Rank: 112^th

Area (KM²): 3,333 | Area Rank: 389^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of Higher Education Enrolments % of Pop (No, UDISE 2021)	0	3^rd	5089
2	# of UG Enrolments - Arts (No, AISHE 2020)	9152	59^th	2476
3	# of PG Enrolments - Arts (No, AISHE 2020)	1087	59^th	3369
4	# of UG Enrolments - Law (No, AISHE 2020)	654	75^th	5076
5	# of ITIS seats (No, AISHE 2020)	4706	77^th	10286
6	# of Colleges (No, AISHE 2020)	56	80^th	1597
7	# of UG Diploma Enrolments (No, AISHE 2020)	334	80^th	3814
8	# of Enrolment in Private and Government Colleges (No, AISHE 2020)	36821	89^th	4710
9	# of Total Enrolments (No, AISHE 2020)	49523	93^rd	5825
10	# of Population (0-18) (No, Census 2011)	136937	95^th	2999
11	# of Bachelor's Enrolment (No, AISHE 2020)	42477	96^th	1293
12	Population (18-24) (Number, 2023)	208496	98^th	5920
13	# of Master's Enrolment (No, AISHE 2020)	6137	108^th	9229
14	# of PG Enrolments - Management (No, AISHE 2020)	591	109^th	6292
15	# of UG Enrolments - Management (No, AISHE 2020)	719	121^st	2286
16	# of No. of Schools (No, UDISE 2021)	1937	124^th	7324
17	# of Diploma (No, AISHE 2020)	3877	137^th	10544
18	# of Universities (No, AISHE 2020)	1	153^rd	3671

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	247^th	9436
2	# of PG Enrolments - Commerce (No, AISHE 2020)	344	490^th	3151
3	# of UG Enrolments - Commerce (No, AISHE 2020)	4172	491^st	3358
4	# of UG Enrolments - Teaching (No, AISHE 2020)	2447	562^nd	6138
5	# of UG Enrolments - Medical (No, AISHE 2020)	358	578^th	4705
6	# of UG Enrolments - Engg (No, AISHE 2020)	5379	579^th	4618
7	# of PG Enrolments - Engg (No, AISHE 2020)	250	579^th	3572
8	# of Ph.D Enrolments (No, AISHE 2020)	275	624^th	6465
9	# of UG Enrolments - Science (No, AISHE 2020)	6311	625^th	4379
10	# of PG Enrolments - Science (No, AISHE 2020)	1015	625^th	9800

Negative Metrics:

Population: 349,909 | Population Rank: 112^th

Area (KM²): 3,333 | Area Rank: 389^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Sanctioned Police Force Number (NO, IPC 2020)	1416	1^st	3552
2	Number of Police Stations (NO, IPC 2020)	22	419^th	7480
3	Number of Panchayats (Number , Census 2011)	745	442^nd	4373

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	20^th	4332
2	Number of Murders (NO, IPC 2020)	25	36^th	4617
3	Number of IPC Crimes (NO, IPC 2020)	2801	48^th	3256
4	Murder/Lakh Pop (Ratio, IPC 2020)	1	71^st	11062
5	Crime/1000 Pop (Ratio, IPC 2020)	1	83^rd	7071

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Missing Persons (NO, IPC 2020)	267	1^st	8314

Population: 349,909 | Population Rank: 112^th

Area (KM²): 3,333 | Area Rank: 389^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	118^th	6212
2	Linkedin Audience Size(No, Linked in Jan, 2025)	132859	592^nd	10670

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	328^th	11217
2	Urban Internet Pop/City Pop (%, TRAI June 2023)	165	335^th	6386
3	English Speakers (Second Language + Third Language (No, Census 2011)	187044	616^th	4119
4	Number of Facebook Users. (Estimated Maximum)(No, Dec. 2024)	1065262	631^st	4097

Negative Metrics:

Population: 349,909 | Population Rank: 112^th

Area (KM²): 3,333 | Area Rank: 389^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Devnagri Script (Hindi)	137058	57^th	4918
2	DHQ Mother Tongue Population (No, Census 2011)	254303	88^th	5812
3	Script Pools # < 30, 000	1	115^th	7909

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Assamese Script	3229	1^st	8633
2	Malayalam Script	6112	1^st	7415
3	Telugu Script	39429	198^th	6260
4	Literacy (%, Census 2023)Estd	78	256^th	2244
5	Tamil Script	23886	296^th	6248
6	Kannada Script	23603	320^th	2461
7	Marathi Script	27903	360^th	2588
8	Gujarati Script	25953	364^th	7383
9	Odia Script	5442	433^rd	7054
10	Latin Script (English)	2647	435^th	9557
11	Bengali Script	13153	486^th	10033
12	Perso-Arabic Script (Urdu)	33190	559^th	7433
13	English Multilingual Population	50193	585^th	1601
14	Gurumukhi Script (Punjabi)	10774	607^th	9836

Negative Metrics:

Population: 349,909 | Population Rank: 112^th

Area (KM²): 3,333 | Area Rank: 389^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)	596633	116^th	9746
2	Number of Dailies or Magazines (No, RNI 2020)	221	155^th	5188

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Theatres (No, BOC 2020)	22	565^th	9024

Negative Metrics:

Population: 349,909 | Population Rank: 112^th

Area (KM²): 3,333 | Area Rank: 389^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of towns (Number , Census 2011)	10	59^th	7736
2	# of Uninhabited Villages	64	76^th	1865
3	Urban Population (Number , Census 2011)	531234	135^th	10374
4	# of Households that use LPG/PNG as fuel for Cooking	96340	180^th	11036
5	# of Households with Main source of Lighting as Electricity	222703	197^th	4592
6	# of Households with Location of drinking water source within premises	154278	200^th	10897
7	Number of households (Number , Census 2011)	326286	201^st	3308
8	Urbanization (% , Census 2011)	26	210^th	4811
9	# of Households with 1 married couple	228663	213^th	5691
10	Number of households having latrine facility within the premises	156908	224^th	8481

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of Inhabited Villages	777	441^st	9715
2	# of Households with Main source of Lighting as Solar Energy	1508	544^th	9772
3	# of Households that use Electricity as fuel for Cooking	566	623^rd	8312

Negative Metrics:

Population: 349,909 | Population Rank: 112^th

Area (KM²): 3,333 | Area Rank: 389^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Informal Jobs(DHQ),2023	56813	107^th	1169
2	State Govt Jobs(Formal) DHQ,2023	14249	135^th	3532
3	Informal Jobs(Dist.),2023	626770	213^th	10135

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Central Govt Jobs(Formal),2023	6050	1^st	4040
2	Central PSU Jobs(Formal),2023	1938	1^st	6277
3	Private Jobs(Formal),2023	15104	1^st	2535
4	State Govt Jobs(Formal) Dist.,2023	23664	440^th	4343
5	Formal Jobs(Dist.),2023	25014	451^st	7204
6	Formal Jobs(DHQ),2023	37084	623^rd	8101
7	# of Companies,2023	1876	624^th	7486

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.