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Sangli AI Report

Date: June 17, 2025

Sangli, located in Maharashtra, has 1.7% of the state's population.

Sangli is the 95^th ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Sangli District in Maharashtra State. Sangli District is 149^th highest ranked in population and 67^th ranked in area, in India.

Sangli is the 11^th highest ranked in Marathi Script out of 768 city/districts of India. This indicates a high pool of literate marathi population compared to other cities.

The average # of UG Enrolments - Commerce (No, AISHE 2021) of Indian city (district capitals)/districts is 5042. Sangli is the 35^th highest ranked city out of 768 city/districts.This indicates that this district is more urbanized and/or has a better-developed educational infrastructure compared to other districts.

Sangli is the 40^th highest ranked in No of Doctors out of 768 city/districts of India. This implies that health infrastructure in this district is better than other districts.

Marathi Script

Marathi Script

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

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

No of Doctors

No of Doctors

Number of Missing Persons (NO, NCRB 2022)

Number of Missing Persons (NO, NCRB 2022)

Formal Jobs(Dist.),2023

Formal Jobs(Dist.),2023

Number of Theatres (No, BOC 2020)

Number of Theatres (No, BOC 2020)

State Govt Jobs(Formal) Dist.,2023

State Govt Jobs(Formal) Dist.,2023

The Average Number of Missing Persons (NO, NCRB 2022) of Indian City (District Capitals)/Districts is 285. Sangli is the 15^th worst ranked City out of 768 City/Districts. This implies lesser effectiveness of law and order in this district compared to other districts.

The Average Formal Jobs(Dist.),2023 of Indian City (District Capitals)/Districts is 25014. Sangli is the 668^th worst ranked City out of 768 City/Districts. This implies low private sector growth.

Out of 768 District Capitals/Districts of India, Sangli is the 664^th worst ranked in Number of Theatres (No, BOC 2020) . This implies that this district is less urbanised compared to other districts

Out of 768 District Capitals/Districts of India, Sangli is the 657^th worst ranked in State Govt Jobs(Formal) Dist.,2023 . This indicates that this is not a highly urbanized district and/or not a high GDP top 40 metropolis.

Sangli City/District Metrics

Culture

Nature

Internet

Sangli Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
Ab. Prod (Mn Tonnes) Sugarcane Production	Ab. Prod (Mn Tonnes) Sugarcane Production	3.35%	1^st	11040
Number of Donkey (20th Cattle Census)	Number of Donkey (20th Cattle Census)	1.18%	20^th	10301
Number of Total Poultry (20th Cattle Census)	Number of Total Poultry (20th Cattle Census)	0.53%	38^th	6442
Number of Bufflo (20th Cattle Census)	Number of Bufflo (20th Cattle Census)	0.52%	46^th	2532
Number of Goat (20th Cattle Census)	Number of Goat (20th Cattle Census)	0.37%	60^th	10387
Ab. Prod (Mn Tonnes) Soyabean Production	Ab. Prod (Mn Tonnes) Soyabean Production	0.22%	64^th	5187
Ab. Prod (Mn Tonnes) Maize Production	Ab. Prod (Mn Tonnes) Maize Production	0.41%	68^th	6986
Number of Horse (20th Cattle Census)	Number of Horse (20th Cattle Census)	0.43%	73^rd	5798
Number of Sheep (20th Cattle Census)	Number of Sheep (20th Cattle Census)	0.23%	93^rd	2770
Ab. Prod (Lakh tonnes) Chickpea Production	Ab. Prod (Lakh tonnes) Chickpea Production	0.10%	106^th	8786
Ab. Prod (Mn tonn) Wheat Production	Ab. Prod (Mn tonn) Wheat Production	0.09%	150^th	2755
Number of Cattle (20th Cattle Census)	Number of Cattle (20th Cattle Census)	0.20%	193^rd	6955
Number of Mule (20th Cattle Census)	Number of Mule (20th Cattle Census)	0.00%	242^nd	4546
Number of Pony (20th Cattle Census)	Number of Pony (20th Cattle Census)	0.02%	266^th	9324
Number of Pig (20th Cattle Census)	Number of Pig (20th Cattle Census)	0.04%	340^th	10782

Sangli Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Princely State	Princely State	1	Sangli
Famous Forts	Famous Forts	1	Machindragad

Airports

	Name	City	IATA Code	Distance
Airport Name	Hubballi Airport	Hubli	HBX	109 Km

Population: 502,793 | Population Rank: 95^th

Area (KM²): 8,572 | Area Rank: 67^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	No of Total Hospitals	61	127^th	8294
2	No of Hospital Beds	1470	155^th	5360
3	No of District Hospital	1	162^nd	7663
4	No of Sub Divisional Hospital	2	158^th	9037
5	No of Community Health Centers	9	158^th	10992
6	No of Primary Health Centers	48	120^th	1814
7	No of Nurses	3392	188^th	7064
8	No of Doctors	1795	40^th	6770

Population: 502,793 | Population Rank: 95^th

Area (KM²): 8,572 | Area Rank: 67^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	No. of Banks/1000 Household (in 1000, RBI SCB 2024)	1	101^st	5767
2	% of Household with Mobiles (%, Census 2011)	51	366^th	1564
3	% of Households with Cars (%, Census 2011)	4	213^th	9160
4	Number of Households with Owned houses (No, Census 2011)	280805	134^th	7822
5	Number of Households with rented houses (No, Census 2011)	37627	102^nd	6195
6	Number of Households with means of Transport as Scooter/ Motorcycle/Moped (No, Census 2011)	69577	58^th	9514
7	Number of Households with means of Transport as Car/ Jeep/Van (No, Census 2011)	15572	90^th	6645
8	Number of Households with Television (No, Census 2011)	157504	104^th	7315
9	Number of Households with Internet (No, Census 2011)	10634	113^th	9719
10	Number of Households with Mobile only (No, Census 2011)	174173	122^nd	7770
11	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car (No, Census 2011)	15680	101^st	6586
12	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline (No, Census 2011)	57099	177^th	10299
13	Number of Banks (No, RBI SCB Q3 2024)	183	121^st	4156
14	Number of Households without Internet (No, Census 2011)	20983	121^st	1862

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	House Ownership % of Households (%, Census 2011)	86	253^rd	2390
2	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2024)	23	305^th	4412
3	GDP per Capita ('000', RBI SCB 2023)	118	334^th	6740
4	Bank Deposit/Household (Lakhs, RBI SCB 2024)	14	417^th	8406
5	Bank Loans/Household (Lakhs, RBI SCB 2024)	11	418^th	2108
6	GDP (Crores. RBI SCB 2023)	27789	521^st	1419
7	Bank Deposit-Bank Loans (Crores, RBI SCB 2024)	5533	557^th	2583
8	Bank Deposits (Crore, RBI SCB Q3 2024)	28688	619^th	5622
9	Bank Credit (Crore, RBI SCB Q3 2024)	23154	627^th	2491

Population: 502,793 | Population Rank: 95^th

Area (KM²): 8,572 | Area Rank: 67^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	Sex-Ratio (1000) (%, Census 2011)	949	293^rd	3029

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	Decadal Growth Rate (2011) (%, Census 2011)	19	109^th	4308
2	Population per sq. km. (Km, Census 2011)	1023	339^th	5824

Population: 502,793 | Population Rank: 95^th

Area (KM²): 8,572 | Area Rank: 67^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	# of UG Enrolments - Law (No, AISHE 2021)	593	95^th	6939
2	# of Colleges (No, AISHE 2021)	57	112^th	4523
3	# of Enrolment in Private and Government Colleges (No, AISHE 2021)	39460	114^th	3345
4	# of Ph.D Enrolments (No, AISHE 2021)	258	119^th	5506
5	# of Master's Enrolment (No, AISHE 2021)	6788	109^th	3735
6	# of Bachelor's Enrolment (No, AISHE 2021)	44296	117^th	5861
7	# of UG Diploma Enrolments (No, AISHE 2021)	334	123^rd	8685
8	# of Diploma (No, AISHE 2021)	3658	93^rd	1733
9	# of Universities (No, AISHE 2021)	1	159^th	9863
10	# of ITIS seats (No, AISHE 2021)	4319	149^th	8077
11	# of Total Enrolments (No, AISHE 2021)	49523	108^th	2504
12	# of Population (0-18) (No, Census 2011)	136937	100^th	6469
13	# of No. of Schools (No, UDISE 2023)	1915	175^th	7841
14	# of Higher Education Enrolments % of Pop (No, UDISE 2023)	2	212^th	4143
15	# of UG Enrolments - Arts (No, AISHE 2021)	11775	90^th	8615
16	# of UG Enrolments - Science (No, AISHE 2021)	6151	69^th	2765
17	# of UG Enrolments - Engg (No, AISHE 2021)	3322	96^th	9250
18	# of UG Enrolments - Commerce (No, AISHE 2021)	5042	35^th	10903
19	Population (18-24) (Number, 2023)	208496	133^rd	3761
20	# of PG Enrolments - Management (No, AISHE 2021)	684	102^nd	9709
21	# of PG Enrolments - Commerce (No, AISHE 2021)	442	35^th	8205
22	# of PG Enrolments - Engg (No, AISHE 2021)	193	96^th	6346
23	# of PG Enrolments - Science (No, AISHE 2021)	1085	69^th	6660
24	# of PG Enrolments - Arts (No, AISHE 2021)	1484	90^th	3787
25	# of UG Enrolments - Medical (No, AISHE 2021)	416	103^rd	5663
26	# of UG Enrolments - Management (No, AISHE 2021)	759	102^nd	3706
27	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years) (No, AISHE 2021)	29	219^th	5722

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	533^rd	9531

Population: 502,793 | Population Rank: 95^th

Area (KM²): 8,572 | Area Rank: 67^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	Number of Police Stations (NO, IPC 2020)	22	202^nd	4846
2	Number of Missing Persons (NO, NCRB 2022)	285	15^th	4801
3	Number of IPC Crimes (NO, NCRB 2022)	2654	56^th	6696
4	Number of Murders (NO, NCRB 2022)	24	101^st	8245
5	Crime/1000 Pop (Ratio, NCRB 2022)	1	147^th	7044
6	Murder/Lakh Pop (Ratio, NCRB 2022)	1	153^rd	5812
7	Number of Cyber Crimes (NO, NCRB 2022)	29	174^th	9103

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	Number of Panchayats (Number , Census 2011)	745	438^th	4682

Population: 502,793 | Population Rank: 95^th

Area (KM²): 8,572 | Area Rank: 67^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	English Speakers (Second Language + Third Language (No, Census 2011)	162759	478^th	1846
2	Urban Internet Pop/City Pop (%, TRAI December 2024)	122	176^th	5812
3	Number of Internet Connections (No, TRAI 2024)	411790	83^rd	5411

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	106^th	9244
2	Number of Facebook Users. (Estimated Maximum)(No, May 2025)	172612	462^nd	4924
3	Linkedin Audience Size(No, Linked in May, 2025)	135164	618^th	9279

Population: 502,793 | Population Rank: 95^th

Area (KM²): 8,572 | Area Rank: 67^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	English Multilingual Population	50193	67^th	7681
2	Script Pools # < 30, 000	1	18^th	7972
3	Literacy (%, Census 2023)Estd	78	188^th	7568
4	DHQ Mother Tongue Population (No, Census 2011)	254303	95^th	7699
5	Marathi Script	27903	11^th	5653
6	Perso-Arabic Script (Urdu)	33190	105^th	6270

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	Assamese Script	3229	449^th	6307
2	Bengali Script	13153	518^th	5814
3	Devnagri Script (Hindi)	137058	537^th	9373
4	Gurumukhi Script (Punjabi)	10774	540^th	2578
5	Odia Script	5442	591^st	9092
6	Latin Script (English)	2647	623^rd	7145
7	Telugu Script	39429	636^th	4483
8	Malayalam Script	6112	646^th	3162
9	Tamil Script	23886	664^th	2558
10	Gujarati Script	25953	703^rd	8400
11	Kannada Script	23603	726^th	1383

Population: 502,793 | Population Rank: 95^th

Area (KM²): 8,572 | Area Rank: 67^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	53^rd	3395
2	Total Annual Newspaper Circulation (No, RNI 2022)	656764	82^nd	1269

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	Number of Theatres (No, BOC 2020)	22	664^th	6312

Population: 502,793 | Population Rank: 95^th

Area (KM²): 8,572 | Area Rank: 67^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	Number of households (Number , Census 2011)	326286	122^nd	4473
2	# of Households that use LPG/PNG as fuel for Cooking	96340	78^th	10837
3	Number of households having latrine facility within the premises	156908	72^nd	4374
4	# of Households with Main source of Lighting as Electricity	222703	95^th	2054
5	# of Households with Location of drinking water source within premises	154278	71^st	3698
6	# of Households with 1 married couple	228663	140^th	6609
7	Urbanization (% , Census 2011)	26	244^th	2805
8	Urban Population (Number , Census 2011)	531234	143^rd	6905

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	# of Uninhabited Villages	64	190^th	9149
2	# of Households with Main source of Lighting as Solar Energy	1508	400^th	9566
3	Number of towns (Number , Census 2011)	10	404^th	10112
4	# of Inhabited Villages	777	437^th	7098

Population: 502,793 | Population Rank: 95^th

Area (KM²): 8,572 | Area Rank: 67^th

Better than India Average-

Sr.	Fields	India Average	Rank out of 768	City / District Data
1	Informal Jobs(Dist.),2023	626770	70^th	9998
2	Informal Jobs(DHQ),2023	56813	55^th	10101
3	State Govt Jobs(Formal) DHQ,2023	14249	97^th	2302
4	# of Companies,2023	1876	56^th	11164

Worse than India Average-

Sr.	Fields	India Average	Worst Rank out of 768	City / District Data
1	Formal Jobs(DHQ),2023	37084	653^rd	8118
2	State Govt Jobs(Formal) Dist.,2023	23664	657^th	5032
3	Formal Jobs(Dist.),2023	25014	668^th	10898

languages
City (district capitals)/DHQ

1. Marathi : 367,829
2. English Multilingual Population : 107,285
3. Hindi : 63,637

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

Basic Details

City (District Capitals)/DHQ Population :	:	502,793
City(District Capitals)/DHQ Population (Rank)	:	95^th
District Area (km²)	:	8,572
District Area (Rank)	:	67^th
No.of Towns in District	:	7
No. of Villages in District	:	728

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.