Prarang: G2C

Valsad Analytics

languages
City (district capitals)/DHQ

1. Gujarati : 115,185
2. English Multilingual Population : 26,061
3. Hindi : 17,433

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

Basic Details

City (District Capitals)/DHQ Population :	:	139,764
City(District Capitals)/DHQ Population (Rank)	:	263^rd
District Area (km²)	:	3,034
District Area (Rank)	:	430^th
No.of Towns in District	:	47
No. of Villages in District	:	440

What is A.I.? FAQ

Valsad Highlights: India City/Districts Comparison

Valsad is the 263^rd ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Valsad District in Gujarat State. Valsad District is 271^st highest ranked in population & 430^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Valsad 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 Gujarati Script of Indian city (district capitals)/districts is 25,953. Valsad is the 21^st highest ranked city out of 768 city/districts. This indicates a high pool of literate gujarati population compared to other cities.

3.
Out of 768 District Capitals/Districts of India, Valsad is the 47^th highest ranked in Number of towns (Number , Census 2011) . This indicates that this district has better urban development as compare to other districts.

4.
Out of 768 District Capitals/Districts of India Valsad is the 543^rd best ranked in Number of Cyber Crimes (NO, IPC 2020) . This indicates a safer district as compared to other districts.

5.
Valsad is the 489^th best 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.

6.
The Average Number of Murders (NO, IPC 2020) of Indian City(District Capitals)/Districts is 25 . Valsad is the 403^rd best ranked City out of 768 City/Districts. This indicates a safer district as compared to other districts.

Worse than India Average-

1.
Valsad is the 41^st worst ranked in Crime/1000 Pop (Ratio, 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 IPC Crimes (NO, IPC 2020) of Indian City (District Capitals)/Districts is Valsad is the 64^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, Valsad is the 372^nd worst ranked in Murder/Lakh Pop (Ratio, 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, Valsad is the 657^th worst ranked in GDP (Crores. RBI SCB 2023) .This indicates poor development in this district compared to other districts.

5.
Valsad is the 652^nd highest ranked in Number of Theatres (No, BOC 2020) out of 768 City/Districts of India.This implies that this district is less urbanised compared to other districts

6.
The Average Linkedin Audience Size (No, Linked in 2024) of Indian City(District Capitals)/Districts is 118602. Valsad is the 640^th highest ranked City out of 768 City/Districts.This indicates lower Linkedin IDs in Linkedin Advertising module for this town vis a vis other towns.

Valsad City/District Metrics

Culture

Nature

Internet

Valsad Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
Ab. Prod (Mn tonn) Wheat Production	Ab. Prod (Mn tonn) Wheat Production	1.09%	9^th	4548

Valsad Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Princely State	Princely State	1	Dharampur
Famous Forts	Famous Forts	1	Indragad Fort
Famous Jain Temples	Famous Jain Temples	1	Simandhar Swami Jain Derasar

Airports

	Name	City	IATA Code	Distance
Airport Name	Surat Airport	Surat	STV	39 Km

Population: 139,764 | Population Rank: 263^rd

Area (KM²): 3,034 | Area Rank: 430^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	No of Hospital Beds	1599	137^th	4086
2	No of District Hospital	1	179^th	8986
3	No of Sub Divisional Hospital	1	181^st	1786
4	No of Nurses	3390	198^th	4199
5	No of Community Health Centers	9	214^th	5162
6	No of Doctors	1729	220^th	10308
7	No of Primary Health Centers	47	257^th	1709
8	No of Total Hospitals	59	263^rd	7965

Negative Metrics:

Population: 139,764 | Population Rank: 263^rd

Area (KM²): 3,034 | Area Rank: 430^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	No. of Banks/1000 Household (in "1000", SCB 2023)	1	109^th	5350
2	Number of Households with means of Transport as Car/ Jeep/Van (No, Census 2011)	15572	114^th	5105
3	Number of Households with means of Transport as Scooter/ Motorcycle/Moped (No, Census 2011)	69577	116^th	7733
4	Number of Households with rented houses (No, Census 2011)	37627	118^th	2061
5	GDP per Capita ('000', RBI SCB 2023)	153	121^st	8773
6	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car (No, Census 2011)	15680	124^th	9080
7	Number of Households with Internet (No, Census 2011)	10634	132^nd	6043
8	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8200	138^th	4721
9	Number of Banks (No, RBI SCB Q4 2022)	225	162^nd	5910
10	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	22	166^th	3025
11	% of Households with Cars (%, Census 2011)	4	168^th	1749
12	Number of Households with Television (No, Census 2011)	157504	183^rd	7023
13	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline (No, Census 2011)	57099	190^th	6946
14	Number of Households with Mobile only (No, Census 2011)	174173	230^th	1401
15	Number of Households with Owned houses (No, Census 2011)	280805	275^th	5822
16	% of Household with Mobiles (%, Census 2011)	51	291^st	5204

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	House Ownership % of Households (%, Census 2011)	86	200^th	7317
2	Number of Households without Internet (No, Census 2011)	20983	515^th	9367
3	Bank Loans/Household (Lakhs, RBI SCB 2023)	46	532^nd	2569
4	Bank Deposit/Household (Lakhs, RBI SCB 2023)	53	557^th	3800
5	Bank Credit (Crore, RBI SCB Q4 2022)	38207	629^th	6450
6	Bank Deposits (Crore, RBI SCB Q4 2022)	46408	633^rd	5406
7	GDP (Crores. RBI SCB 2023)	38608	657^th	7934

Negative Metrics:

Population: 139,764 | Population Rank: 263^rd

Area (KM²): 3,034 | Area Rank: 430^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	242^nd	1977

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Sex-Ratio (1000) (%, Census 2011)	949	230^th	9335
2	Population per sq. km. (Km, Census 2011)	1023	502^nd	6851

Negative Metrics:

Population: 139,764 | Population Rank: 263^rd

Area (KM²): 3,034 | Area Rank: 430^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	7297
2	# of UG Enrolments - Commerce (No, AISHE 2020)	4172	71^st	1968
3	# of PG Enrolments - Commerce (No, AISHE 2020)	344	71^st	3374
4	# of UG Enrolments - Science (No, AISHE 2020)	6311	73^rd	6860
5	# of PG Enrolments - Science (No, AISHE 2020)	1015	73^rd	7836
6	# of Universities (No, AISHE 2020)	1	153^rd	5473

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	214^th	1686
2	# of Bachelor's Enrolment (No, AISHE 2020)	42477	303^rd	9363
3	# of Total Enrolments (No, AISHE 2020)	49523	308^th	7707
4	# of UG Diploma Enrolments (No, AISHE 2020)	334	316^th	10268
5	# of Master's Enrolment (No, AISHE 2020)	6137	318^th	3833
6	# of Enrolment in Private and Government Colleges (No, AISHE 2020)	36821	325^th	9781
7	# of Ph.D Enrolments (No, AISHE 2020)	275	327^th	3717
8	# of No. of Schools (No, UDISE 2021)	1937	331^st	2279
9	Population (18-24) (Number, 2023)	208496	365^th	4288
10	# of Diploma (No, AISHE 2020)	3877	368^th	7881
11	# of ITIS seats (No, AISHE 2020)	4706	374^th	10164
12	# of Colleges (No, AISHE 2020)	56	390^th	5509
13	# of UG Enrolments - Medical (No, AISHE 2020)	358	428^th	8953
14	# of UG Enrolments - Law (No, AISHE 2020)	654	452^nd	5613
15	# of UG Enrolments - Teaching (No, AISHE 2020)	2447	461^st	7752
16	# of UG Enrolments - Engg (No, AISHE 2020)	5379	478^th	4257
17	# of PG Enrolments - Engg (No, AISHE 2020)	250	478^th	7790
18	# of Population (0-18) (No, Census 2011)	136937	495^th	1476
19	# of UG Enrolments - Management (No, AISHE 2020)	719	509^th	7462
20	# of UG Enrolments - Arts (No, AISHE 2020)	9152	522^nd	4788
21	# of PG Enrolments - Arts (No, AISHE 2020)	1087	522^nd	8796
22	# of PG Enrolments - Management (No, AISHE 2020)	591	552^nd	6759

Negative Metrics:

Population: 139,764 | Population Rank: 263^rd

Area (KM²): 3,034 | Area Rank: 430^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	3217
2	Number of Panchayats (Number , Census 2011)	745	329^th	2738
3	Number of Police Stations (NO, IPC 2020)	22	394^th	9863

Negative Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Crime/1000 Pop (Ratio, IPC 2020)	1	41^st	2760
2	Number of IPC Crimes (NO, IPC 2020)	2801	64^th	8211
3	Murder/Lakh Pop (Ratio, IPC 2020)	1	372^nd	1658

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Murders (NO, IPC 2020)	25	403^rd	4153
2	Number of Missing Persons (NO, IPC 2020)	267	489^th	3181
3	Number of Cyber Crimes (NO, IPC 2020)	25	543^rd	1332

Population: 139,764 | Population Rank: 263^rd

Area (KM²): 3,034 | Area Rank: 430^th

Positive Metrics:

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	302^nd	2134
2	English Speakers (Second Language + Third Language (No, Census 2011)	187044	410^th	10220
3	Urban Internet Pop/City Pop (%, TRAI June 2023)	165	430^th	5307
4	Number of Internet Connections (No, TRAI 2023)	593683	503^rd	9736
5	Number of Facebook Users. (Estimated Maximum) (No, FB 2024)	476772	543^rd	10024
6	Linkedin Audience Size (No, Linked in 2024)	118602	640^th	10530

Negative Metrics:

Population: 139,764 | Population Rank: 263^rd

Area (KM²): 3,034 | Area Rank: 430^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Gujarati Script	25953	21^st	3596
2	Literacy (%, Census 2023)Estd	78	239^th	6413
3	Script Pools # < 30, 000	1	243^rd	6605

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Perso-Arabic Script (Urdu)	33190	308^th	3202
2	Assamese Script	3229	340^th	6399
3	Devnagri Script (Hindi)	137058	415^th	9393
4	Bengali Script	13153	465^th	8352
5	Odia Script	5442	466^th	2690
6	DHQ Mother Tongue Population (No, Census 2011)	254303	513^th	3751
7	Telugu Script	39429	515^th	5966
8	Gurumukhi Script (Punjabi)	10774	521^st	1528
9	English Multilingual Population	50193	549^th	10167
10	Tamil Script	23886	613^th	3902
11	Latin Script (English)	2647	631^st	9039
12	Kannada Script	23603	645^th	1858
13	Malayalam Script	6112	651^st	7233
14	Marathi Script	27903	686^th	3035

Negative Metrics:

Population: 139,764 | Population Rank: 263^rd

Area (KM²): 3,034 | Area Rank: 430^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	229^th	4819
2	Number of Dailies or Magazines (No, RNI 2020)	221	265^th	5187

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Theatres (No, BOC 2020)	22	652^nd	10587

Negative Metrics:

Population: 139,764 | Population Rank: 263^rd

Area (KM²): 3,034 | Area Rank: 430^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	47^th	4990
2	# of Households that use LPG/PNG as fuel for Cooking	96340	142^nd	7165
3	Urban Population (Number , Census 2011)	531234	157^th	7374
4	Urbanization (% , Census 2011)	26	157^th	8886
5	# of Households with Main source of Lighting as Electricity	222703	161^st	7164
6	Number of households having latrine facility within the premises	156908	207^th	2848
7	# of Households with Location of drinking water source within premises	154278	239^th	5065
8	Number of households (Number , Census 2011)	326286	252^nd	3013
9	# of Households with 1 married couple	228663	258^th	2875

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of Households that use Electricity as fuel for Cooking	566	1^st	3188
2	# of Uninhabited Villages	64	124^th	9221
3	# of Households with Main source of Lighting as Solar Energy	1508	316^th	2708
4	# of Inhabited Villages	777	328^th	1214

Negative Metrics:

Population: 139,764 | Population Rank: 263^rd

Area (KM²): 3,034 | Area Rank: 430^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Informal Jobs(Dist.),2023	626770	289^th	10687

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Central Govt Jobs(Formal),2023	6050	1^st	6313
2	Central PSU Jobs(Formal),2023	1938	1^st	1139
3	Private Jobs(Formal),2023	15104	1^st	2010
4	State Govt Jobs(Formal) DHQ,2023	14249	296^th	10726
5	Formal Jobs(DHQ),2023	37084	304^th	10424
6	State Govt Jobs(Formal) Dist.,2023	23664	377^th	10454
7	Formal Jobs(Dist.),2023	25014	388^th	9297
8	# of Companies,2023	1876	466^th	6972
9	Informal Jobs(DHQ),2023	56813	550^th	1675

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.