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Nanded AI Report

Date: May 17, 2025

Nanded, located in Maharashtra, has 1.8% of the state's population.

Nanded is the 76^th ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Nanded District in Maharashtra State. Nanded District is 90^th highest ranked in population and 38^th ranked in area, in India.

Out of 768 District Capitals/Districts of India, Nanded is the 13^th highest ranked in . This indicates a high pool of literate marathi population compared to other cities.

Nanded is the 27^th highest ranked in out of 768 city/districts of India. This implies that health infrastructure in this district is better than other districts.

Nanded is the 33^rd highest ranked in 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.

Marathi Script

Marathi Script

No of Doctors

No of Doctors

# of UG Enrolments - Commerce (No, AISHE 2021)

# of UG Enrolments - Commerce (No, AISHE 2021)

Number of Murders (NO, NCRB 2022)

Number of Murders (NO, NCRB 2022)

Formal Jobs(Dist.),2023

Formal Jobs(Dist.),2023

Linkedin Audience Size(No, Linked in Jan, 2025)

Linkedin Audience Size(No, Linked in Jan, 2025)

Number of Theatres (No, BOC 2020)

Number of Theatres (No, BOC 2020)

Out of 768 District Capitals/Districts of India, Nanded is the 33^rd worst ranked in . This implies lesser effectiveness of law and order in this district compared to other districts.

Out of 768 District Capitals/Districts of India, Nanded is the 691^st worst ranked in . This implies low private sector growth.

Out of 768 District Capitals/Districts of India, Nanded is the 645^th worst ranked in . This indicates lower Linkedin IDs in Linkedin Advertising module for this town vis a vis other towns.

The Average of Indian City (District Capitals)/Districts is 22. Nanded is the 600^th worst ranked City out of 768 City/Districts. This implies that this district is less urbanised compared to other districts

Nanded City/District Metrics

Culture

Nature

Internet

Nanded Nature Highlights

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

Nanded Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Famous Forts	Famous Forts	3	Kandhar Fort

Airports

	Name	City	IATA Code	Distance
Airport Name	Aurangabad Airport	Aurangabad	IXU	135 Km

Population: 550,439 | Population Rank: 76^th

Area (KM²): 10,528 | Area Rank: 38^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	No of Doctors	1795	27^th	1199
2	No of Primary Health Centers	48	61^st	6956
3	No of Total Hospitals	61	73^rd	3161
4	No of Hospital Beds	1470	103^rd	9318
5	No of Community Health Centers	9	113^th	8432
6	No of Sub Divisional Hospital	2	158^th	1987
7	No of Nurses	3392	162^nd	8940
8	No of District Hospital	1	162^nd	9928

Population: 550,439 | Population Rank: 76^th

Area (KM²): 10,528 | Area Rank: 38^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline (No, Census 2011)	57099	27^th	1211
2	Number of Households with Owned houses (No, Census 2011)	280805	95^th	2351
3	Number of Households with Mobile only (No, Census 2011)	174173	110^th	3902
4	Number of Households with rented houses (No, Census 2011)	37627	112^th	10651
5	Number of Households without Internet (No, Census 2011)	20983	123^rd	3742
6	Number of Households with Television (No, Census 2011)	157504	166^th	9044
7	Number of Households with means of Transport as Scooter/ Motorcycle/Moped (No, Census 2011)	69577	198^th	10971
8	% of Household with Mobiles (%, Census 2011)	51	398^th	6126
9	House Ownership % of Households (%, Census 2011)	86	427^th	3214

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	GDP per Capita ('000', RBI SCB 2023)	118	94^th	5191
2	Bank Deposit/Household (Lakhs, RBI SCB 2024)	14	155^th	3360
3	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2024)	23	208^th	3073
4	% of Households with Cars (%, Census 2011)	4	238^th	1701
5	Bank Deposit-Bank Loans (Crores, RBI SCB 2024)	5533	247^th	8429
6	Bank Loans/Household (Lakhs, RBI SCB 2024)	11	303^rd	2341
7	GDP (Crores. RBI SCB 2023)	27789	423^rd	10820
8	Number of Banks (No, RBI SCB Q3 2024)	183	515^th	1992
9	Number of Households with means of Transport as Car/ Jeep/Van (No, Census 2011)	15572	533^rd	5908
10	Bank Deposits (Crore, RBI SCB Q3 2024)	28688	550^th	3398
11	Bank Credit (Crore, RBI SCB Q3 2024)	23154	577^th	2072
12	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car (No, Census 2011)	15680	581^st	9438
13	Number of Households with Internet (No, Census 2011)	10634	591^st	10344

Population: 550,439 | Population Rank: 76^th

Area (KM²): 10,528 | Area Rank: 38^th

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	Sex-Ratio (1000) (%, Census 2011)	949	324^th	2830
2	Population per sq. km. (Km, Census 2011)	1023	326^th	3002
3	Decadal Growth Rate (2011) (%, Census 2011)	19	376^th	11066

Population: 550,439 | Population Rank: 76^th

Area (KM²): 10,528 | Area Rank: 38^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	# of UG Enrolments - Commerce (No, AISHE 2021)	5042	33^rd	5902
2	# of PG Enrolments - Commerce (No, AISHE 2021)	442	33^rd	6992
3	# of UG Enrolments - Science (No, AISHE 2021)	6151	58^th	10508
4	# of PG Enrolments - Science (No, AISHE 2021)	1085	58^th	3987
5	# of UG Enrolments - Arts (No, AISHE 2021)	11775	83^rd	3318
6	# of PG Enrolments - Arts (No, AISHE 2021)	1484	83^rd	9149
7	# of Population (0-18) (No, Census 2011)	136937	84^th	5561
8	# of Diploma (No, AISHE 2021)	3658	86^th	6575
9	# of UG Enrolments - Law (No, AISHE 2021)	593	87^th	6574
10	# of UG Enrolments - Engg (No, AISHE 2021)	3322	89^th	3045
11	# of PG Enrolments - Engg (No, AISHE 2021)	193	89^th	6619
12	# of UG Enrolments - Management (No, AISHE 2021)	759	93^rd	5829
13	# of UG Enrolments - Medical (No, AISHE 2021)	416	93^rd	4694
14	# of PG Enrolments - Management (No, AISHE 2021)	684	93^rd	8112
15	# of Master's Enrolment (No, AISHE 2021)	6788	95^th	2243
16	# of Total Enrolments (No, AISHE 2021)	49523	98^th	5888
17	# of Colleges (No, AISHE 2021)	57	102^nd	9129
18	# of Enrolment in Private and Government Colleges (No, AISHE 2021)	39460	106^th	5213
19	# of Ph.D Enrolments (No, AISHE 2021)	258	111^th	5142
20	# of Bachelor's Enrolment (No, AISHE 2021)	44296	111^th	1982
21	# of UG Diploma Enrolments (No, AISHE 2021)	334	115^th	1428
22	# of No. of Schools (No, UDISE 2023)	1915	116^th	3476
23	Population (18-24) (Number, 2023)	208496	121^st	5378
24	# of ITIS seats (No, AISHE 2021)	4319	140^th	1151
25	# of Universities (No, AISHE 2021)	1	159^th	9278
26	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years) (No, AISHE 2021)	29	219^th	1601
27	# of Higher Education Enrolments % of Pop (No, UDISE 2023)	2	224^th	3776

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	# of UG Enrolments - Teaching (No, AISHE 2021)	1920	554^th	11019

Population: 550,439 | Population Rank: 76^th

Area (KM²): 10,528 | Area Rank: 38^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	Number of Panchayats (Number , Census 2011)	745	105^th	3734
2	Number of Police Stations (NO, IPC 2020)	22	140^th	6486
3	Number of Murders (NO, NCRB 2022)	24	33^rd	11082
4	Number of Missing Persons (NO, NCRB 2022)	285	45^th	1263
5	Number of IPC Crimes (NO, NCRB 2022)	2654	70^th	8977
6	Crime/1000 Pop (Ratio, NCRB 2022)	1	147^th	6598
7	Murder/Lakh Pop (Ratio, NCRB 2022)	1	153^rd	10764
8	Number of Cyber Crimes (NO, NCRB 2022)	29	168^th	8151

Population: 550,439 | Population Rank: 76^th

Area (KM²): 10,528 | Area Rank: 38^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	Number of Facebook Users. (Estimated Maximum)(No,Feb. 2025)	171050	52^nd	9057
2	Number of Internet Connections (No, TRAI 2024)	413842	78^th	4092
3	English Speakers (Second Language + Third Language (No, Census 2011)	162759	92^nd	10947
4	Urban Internet Pop/City Pop (%, TRAI September 2024)	123	283^rd	3153

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	City FB Users % of City Literate Population (%, FB 2025)	106	557^th	2965
2	Linkedin Audience Size(No, Linked in Jan, 2025)	132859	645^th	9787

Population: 550,439 | Population Rank: 76^th

Area (KM²): 10,528 | Area Rank: 38^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	Marathi Script	27903	13^th	10692
2	Script Pools # < 30, 000	1	18^th	8515
3	Perso-Arabic Script (Urdu)	33190	24^th	10391
4	English Multilingual Population	50193	58^th	10809
5	DHQ Mother Tongue Population (No, Census 2011)	254303	101^st	4067
6	Literacy (%, Census 2023)Estd	78	351^st	2963

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	Assamese Script	3229	414^th	3826
2	Bengali Script	13153	482^nd	3818
3	Odia Script	5442	491^st	7643
4	Devnagri Script (Hindi)	137058	546^th	9087
5	Latin Script (English)	2647	554^th	6535
6	Malayalam Script	6112	564^th	1517
7	Tamil Script	23886	629^th	5725
8	Telugu Script	39429	670^th	6961
9	Gujarati Script	25953	680^th	4986
10	Gurumukhi Script (Punjabi)	10774	683^rd	5824
11	Kannada Script	23603	693^rd	9545

Population: 550,439 | Population Rank: 76^th

Area (KM²): 10,528 | Area Rank: 38^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	Number of Dailies or Magazines (No, RNI 2022)	240	34^th	4993
2	Total Annual Newspaper Circulation (No, RNI 2022)	656764	46^th	5310

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	Number of Theatres (No, BOC 2020)	22	600^th	5249

Population: 550,439 | Population Rank: 76^th

Area (KM²): 10,528 | Area Rank: 38^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	# of Households that use Electricity as fuel for Cooking	566	86^th	6404
2	Number of households (Number , Census 2011)	326286	95^th	5780
3	# of Households with 1 married couple	228663	95^th	4282
4	# of Households with Main source of Lighting as Electricity	222703	96^th	8330
5	# of Inhabited Villages	777	105^th	6614
6	Urban Population (Number , Census 2011)	531234	112^th	6194
7	Number of towns (Number , Census 2011)	10	119^th	2114
8	# of Households with Location of drinking water source within premises	154278	144^th	8334
9	Number of households having latrine facility within the premises	156908	151^st	8044
10	# of Households that use LPG/PNG as fuel for Cooking	96340	169^th	2960
11	Urbanization (% , Census 2011)	26	238^th	10755

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	# of Households with Main source of Lighting as Solar Energy	1508	556^th	9049
2	# of Uninhabited Villages	64	580^th	3629

Population: 550,439 | Population Rank: 76^th

Area (KM²): 10,528 | Area Rank: 38^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	Informal Jobs(Dist.),2023	626770	39^th	2374
2	# of Companies,2023	1876	51^st	2058
3	Informal Jobs(DHQ),2023	56813	51^st	9859
4	State Govt Jobs(Formal) DHQ,2023	14249	83^rd	4660

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	Formal Jobs(DHQ),2023	37084	666^th	9083
2	State Govt Jobs(Formal) Dist.,2023	23664	680^th	8621
3	Formal Jobs(Dist.),2023	25014	691^st	8498

languages
City (district capitals)/DHQ

1. Marathi : 305,763
2. Urdu : 160,812
3. English Multilingual Population : 117,451

Number Of Languages spoken by more then 30K Population : 3

Basic Details

City (District Capitals)/DHQ Population :	:	550,439
City(District Capitals)/DHQ Population (Rank)	:	76^th
District Area (km²)	:	10,528
District Area (Rank)	:	38^th
No.of Towns in District	:	17
No. of Villages in District	:	1,603

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.