Prarang: G2C

Sangli Analytics

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)	:	92^nd
District Area (km²)	:	8,572
District Area (Rank)	:	67^th
No.of Towns in District	:	336
No. of Villages in District	:	331

What is A.I.? FAQ

Sangli Highlights: India City/Districts Comparison

Sangli is the 92^nd 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 117^th highest ranked in population & 67^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
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.

2.
The average # of UG Enrolments - Commerce(No,AISHE 2020) of Indian city (district capitals)/districts is 4,172. 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.

3.
Out of 768 District Capitals/Districts of India, Sangli is the 35^th highest ranked in # of PG Enrolments - Commerce(No,AISHE 2020) . This indicates that this district is more urbanized and/or has a better-developed educational infrastructure compared to other districts.

Worse than India Average-

1.
Sangli is the 16^th worst 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.

2.
The Average Number of IPC Crimes(NO, IPC 2020) of Indian City (District Capitals)/Districts is Sangli is the 56^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, Sangli is the 69^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, Sangli is the 448^th worst ranked in City FB Users % of City Literate Population(%, FB 2022) .This indicates higher facebook IDs in FB Advertising module for this town vis a vis other towns.

5.
Sangli is the 372^nd highest ranked in Decadal Growth Rate (2011) (%, 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.

6.
The Average Bank Loans/Household (Lakhs,RBI SCB 2023) of Indian City(District Capitals)/Districts is 43. Sangli is the 366^th 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.

Sangli City/District Metrics

Culture

Nature

Internet

Sangli Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
Ab. Prod (Mn Bales)Cotton Production	Ab. Prod (Mn Bales)Cotton Production	0.00%	3^rd	6907
Ab. Prod (Lakh tonnes) Chickpea Production	Ab. Prod (Lakh tonnes) Chickpea Production	0.10%	231^st	7489
Ab. Prod (Mn tonn) Wheat Production	Ab. Prod (Mn tonn) Wheat Production	0.10%	240^th	8807
Ab. Prod (Mn Tonnes) Soyabean Production	Ab. Prod (Mn Tonnes) Soyabean Production	0.11%	261^st	4033
Ab. Prod (Mn Tonnes) Maize Production	Ab. Prod (Mn Tonnes) Maize Production	0.40%	310^th	8537
Ab. Prod (Mn Tonnes) Sugarcane Production	Ab. Prod (Mn Tonnes) Sugarcane Production	2.75%	334^th	7683

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: 92^nd

Area (KM²): 8,572 | Area Rank: 67^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	No of Doctors	1634	48^th	5657
2	No of Hospital Beds	1381	57^th	8112
3	No of Primary Health Centers	47	150^th	5233
4	No of Sub Divisional Hospital	1	160^th	3271
5	No of Total Hospitals	59	164^th	3433
6	No of Nurses	3328	188^th	3342
7	No of Community Health Centers	9	196^th	4282

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of District Hospital	1	268^th	4588

Negative Metrics:

Population: 502,793 | Population Rank: 92^nd

Area (KM²): 8,572 | Area Rank: 67^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Households with means of Transport as Scooter/ Motorcycle/Moped(No, Census 2011)	67856	58^th	1994
2	Number of Households with means of Transport as Car/ Jeep/Van(No, Census 2011)	15187	90^th	7670
3	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car(No, Census 2011)	15292	101^st	6560
4	Number of Households with rented houses(No, Census 2011)	36696	102^nd	2172
5	Number of Households with Television(No, Census 2011)	153607	104^th	5332
6	Number of Households with Internet(No, Census 2011)	10371	113^th	6016
7	Number of Banks(No, RBI SCB Q4 2022)	221	118^th	11012
8	Number of Households without Internet(No, Census 2011)	20464	121^st	6613
9	Number of Households with Mobile only(No, Census 2011)	169864	122^nd	6652
10	Number of Households with Owned houses(No, Census 2011)	273858	134^th	3134
11	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline(No, Census 2011)	55686	177^th	10340
12	% of Households with Cars(%, Census 2011)	4	228^th	7522
13	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	21	303^rd	4867
14	% of Household with Mobiles(%, Census 2011)	49	360^th	7252
15	House Ownership % of Households(%, Census 2011)	84	513^th	5064

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8029	16^th	4870
2	Bank Deposits(Crore, RBI SCB Q4 2022)	45441	75^th	3383
3	Bank Credit(Crore, RBI SCB Q4 2022)	37411	93^rd	9357
4	GDP (Crores. RBI SCB 2023)	38608	140^th	9849
5	No. of Banks/1000 Household(in "1000", SCB 2023)	1	163^rd	10862
6	GDP per Capita ('000', RBI SCB 2023)	153	293^rd	5253
7	Bank Deposit/Household (Lakhs, RBI SCB 2023)	51	350^th	5068
8	Bank Loans/Household (Lakhs,RBI SCB 2023)	43	366^th	2571

Negative Metrics:

Population: 502,793 | Population Rank: 92^nd

Area (KM²): 8,572 | Area Rank: 67^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Sex-Ratio (1000) (%, Census 2011)	949	294^th	3230

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Population per sq. km. (Km, Census 2011)	1017	315^th	1643
2	Decadal Growth Rate (2011) (%, Census 2011)	19	372^nd	8904

Negative Metrics:

Population: 502,793 | Population Rank: 92^nd

Area (KM²): 8,572 | Area Rank: 67^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of UG Enrolments - Commerce(No,AISHE 2020)	4172	35^th	1826
2	# of PG Enrolments - Commerce(No,AISHE 2020)	344	35^th	9145
3	# of UG Enrolments - Law(No,AISHE 2020)	654	73^rd	1986
4	# of UG Enrolments - Science(No,AISHE 2020)	6311	75^th	4416
5	# of PG Enrolments - Science(No,AISHE 2020)	1015	75^th	5187
6	# of PG Enrolments - Management(No,AISHE 2020)	591	81^st	8082
7	# of UG Enrolments - Management(No,AISHE 2020)	719	85^th	7576
8	# of Diploma(No,AISHE 2020)	3877	91^st	3991
9	# of UG Enrolments - Arts (No,AISHE 2020)	9152	91^st	2132
10	# of PG Enrolments - Arts(No,AISHE 2020)	1087	91^st	2833
11	# of UG Enrolments - Medical(No,AISHE 2020)	358	96^th	6475
12	# of UG Enrolments - Teaching(No,AISHE 2020)	2447	98^th	6469
13	# of Master's Enrolment(No,AISHE 2020)	6137	100^th	4531
14	# of Population (0-18)(No,Census 2011)	136937	100^th	9951
15	# of UG Enrolments - Engg(No,AISHE 2020)	5379	103^rd	10001
16	# of PG Enrolments - Engg(No,AISHE 2020)	250	103^rd	9003
17	# of Total Enrolments(No,AISHE 2020)	49523	108^th	8216
18	# of Enrolment in Private and Government Colleges(No,AISHE 2020)	36821	113^th	8084
19	# of Bachelor's Enrolment(No,AISHE 2020)	42477	113^th	2441
20	# of Colleges(No,AISHE 2020)	56	114^th	5439
21	# of UG Diploma Enrolments(No,AISHE 2020)	334	123^rd	3340
22	Population (18-24) (Number, 2023)	208496	133^rd	4790
23	# of ITIS seats(No,AISHE 2020)	4706	140^th	4939
24	# of No. of Schools(No, UDISE 2021)?	1937	174^th	2856
25	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years)(No,AISHE 2020)	28	229^th	10547

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of Ph.D Enrolments(No,AISHE 2020)	275	10^th	7149
2	# of Higher Education Enrolments % of Pop(No, UDISE 2021)?	2	111^th	8612
3	# of Universities(No,AISHE 2020)	1	169^th	9873

Negative Metrics:

Population: 502,793 | Population Rank: 92^nd

Area (KM²): 8,572 | Area Rank: 67^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Police Stations(NO, IPC 2020)	22	207^th	10819

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Panchayats(Number , Census 2011)	745	10^th	2266

Negative Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Missing Persons(NO, IPC 2020)	267	16^th	5597
2	Number of IPC Crimes(NO, IPC 2020)	2801	56^th	5374
3	Number of Murders(NO, IPC 2020)	25	69^th	4878
4	Number of Cyber Crimes(NO, IPC 2020)	25	97^th	7676
5	Crime/1000 Pop(Ratio, IPC 2020)	1	141^st	3983
6	Murder/Lakh Pop(Ratio, IPC 2020)	1	299^th	4257

Population: 502,793 | Population Rank: 92^nd

Area (KM²): 8,572 | Area Rank: 67^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	78^th	8719
2	English Speakers (Second Language + Third Language(No, Census 2011)	187044	103^rd	6818
3	Urban Internet Pop/City Pop(%, TRAI June 2023)	165	145^th	10435

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Linkedin Audience Size(No, Linked in 2024)	114666	3^rd	1907
2	Number of Facebook Users. (Estimated Maximum)(No, FB 2024)	177404	160^th	10382
3	City FB Users % of City Literate Population(%, FB 2022)	134	448^th	5214

Negative Metrics:

Population: 502,793 | Population Rank: 92^nd

Area (KM²): 8,572 | Area Rank: 67^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Marathi Script	27903	11^th	8775
2	Script Pools # < 30,000	1	37^th	9418
3	English Multilingual Population	50193	67^th	6732
4	DHQ Mother Tongue Population (No, Census 2011)	254303	95^th	8706
5	Perso-Arabic Script (Urdu)	33190	105^th	6065
6	Literacy (%, Census 2023)Estd	78	202^nd	7423

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Kannada Script	23603	4^th	11221
2	Gujarati Script	25953	18^th	6065
3	Tamil Script	23886	55^th	8953
4	Telugu Script	39429	66^th	8575
5	Malayalam Script	6112	78^th	8337
6	Devnagri Script (Hindi)	137058	81^st	2973
7	Latin Script (English)	2647	96^th	8513
8	Odia Script	5442	130^th	2649
9	Gurumukhi Script (Punjabi)	10774	158^th	10144
10	Bengali Script	13153	167^th	8340
11	Assamese Script	3229	259^th	4945

Negative Metrics:

Population: 502,793 | Population Rank: 92^nd

Area (KM²): 8,572 | Area Rank: 67^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Dailies or Magazines(No, RNI 2020)	222	51^st	9283
2	Total Annual Newspaper Circulation(No, RNI 2020)	597414	82^nd	9909

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Theatres(No, BOC 2020)	22	22^nd	1873

Negative Metrics:

Population: 502,793 | Population Rank: 92^nd

Area (KM²): 8,572 | Area Rank: 67^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of Households with Location of drinking water source within premises	150461	71^st	1864
2	Number of households having latrine facility within the premises	153026	72^nd	5040
3	# of Households that use LPG/PNG as fuel for Cooking	93956	78^th	7949
4	# of Households with Main source of Lighting as Electricity	217194	95^th	3149
5	Number of households(Number , Census 2011)	318214	122^nd	1463
6	# of Households with 1 married couple	223006	140^th	3153
7	Urban Population(Number , Census 2011)	495956	143^rd	5949
8	Urbanization(% , Census 2011)	24	247^th	3580

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of Inhabited Villages	747	10^th	9679
2	Number of towns(Number , Census 2011)	10	123^rd	7141
3	# of Households with Main source of Lighting as Solar Energy	1378	158^th	3990
4	# of Uninhabited Villages	54	357^th	6134

Negative Metrics:

Population: 502,793 | Population Rank: 92^nd

Area (KM²): 8,572 | Area Rank: 67^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Companies	1876	56^th	8392
2	Number of Private Jobs( Number, Labour Ministry Quarterly employment Survey 2022)	16177	68^th	2204
3	Number of Formal Jobs(Sum,DPE 2022)	62963	84^th	5486
4	Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee)	760882	91^st	1147
5	Number of State Government Jobs	25127	106^th	2509
6	Working Population 2023(Number,Census 2011)	1121530	117^th	7880

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Govt Jobs as a % of Working Population(%,DPE 2022)	2	9^th	2165
2	Formal Jobs as a % of working Pop(%,DPE 2022)	2	56^th	2261
3	Number of Central Government Jobs (Number,DOE Annual Report 2018)	2531	89^th	6814
4	Number of PSU Jobs(Number,DPE 2022, )	816	89^th	3835

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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