Prarang: G2C

Nainital Analytics

languages
City (district capitals)/DHQ

1. English Multilingual Population : 5,181
2. Hindi : 1,283
3. Punjabi : 25

Number Of Languages spoken by more then 30K Population : 0

Basic Details

City (District Capitals)/DHQ Population :	:	41,377
City(District Capitals)/DHQ Population (Rank)	:	525^th
District Area (km²)	:	3,853
District Area (Rank)	:	317^th
No.of Towns in District	:	215
No. of Villages in District	:	200

What is A.I.? FAQ

Nainital Highlights: India City/Districts Comparison

Nainital is the 525^th ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Nainital District in Uttarakhand State. Nainital District is 457^th highest ranked in population & 317^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Nainital 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 Total Annual Newspaper Circulation (No, RNI 2020) of Indian city (district capitals)/districts is 596,633. Nainital is the 39^th highest ranked city out of 768 city/districts. This implies higher literate district population in comparison to other districts.

3.
Out of 768 District Capitals/Districts of India, Nainital is the 54^th highest 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.

4.
Out of 768 District Capitals/Districts of India Nainital is the 468^th best ranked in Number of IPC Crimes (NO, IPC 2020) . This indicates a safer district as compared to other districts.

5.
Nainital is the 385^th best ranked in Number of Murders (NO, IPC 2020) out of 768 City/Districts of India. This indicates a safer district as compared to other districts.

Worse than India Average-

1.
Nainital is the 83^rd 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 Missing Persons (NO, IPC 2020) of Indian City (District Capitals)/Districts is Nainital is the 176^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, Nainital is the 182^nd worst ranked in Number of Cyber 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, Nainital is the 606^th worst ranked in Bank Deposit/Household (Lakhs, RBI SCB 2023) .This implies that financial activities in this district are less compared to other districts.

5.
Nainital is the 605^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 GDP (Crores. RBI SCB 2023) of Indian City(District Capitals)/Districts is 38608. Nainital is the 596^th highest ranked City out of 768 City/Districts.This indicates poor development in this district compared to other districts.

Nainital City/District Metrics

Culture

Nature

Internet

Nainital Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
Ab. Prod (000' Tonnes) Onion Production	Ab. Prod (000' Tonnes) Onion Production	0.20%	92^nd	10761

Nainital Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Cantt	Cantt	1	Nainital
Zoo	Zoo	1	Pt. G.B. Pant High Altitude Zoo, Nainital

Airports

	Name	City	IATA Code	Distance
Airport Name	Pantnagar Airport	Pantnagar	PGH	25 Km

Population: 41,377 | Population Rank: 525^th

Area (KM²): 3,853 | Area Rank: 317^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	No of District Hospital	1	179^th	3568
2	No of Sub Divisional Hospital	1	181^st	3334
3	No of Primary Health Centers	47	302^nd	6262

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Hospital Beds	1599	1^st	1617
2	No of Community Health Centers	9	280^th	5818
3	No of Nurses	3390	314^th	2695
4	No of Doctors	1729	324^th	9541
5	No of Total Hospitals	59	433^rd	8961

Negative Metrics:

Population: 41,377 | Population Rank: 525^th

Area (KM²): 3,853 | Area Rank: 317^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	22	104^th	10640
2	No. of Banks/1000 Household (in "1000", SCB 2023)	1	109^th	6671
3	GDP per Capita ('000', RBI SCB 2023)	153	116^th	2646
4	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8200	120^th	7481
5	% of Household with Mobiles (%, Census 2011)	51	132^nd	7439
6	% of Households with Cars (%, Census 2011)	4	136^th	3582
7	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car (No, Census 2011)	15680	161^st	3277

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	House Ownership % of Households (%, Census 2011)	86	83^rd	10059
2	Number of Households with Owned houses (No, Census 2011)	280805	305^th	4619
3	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline (No, Census 2011)	57099	326^th	3799
4	Number of Households with Mobile only (No, Census 2011)	174173	416^th	8735
5	Number of Households with means of Transport as Scooter/ Motorcycle/Moped (No, Census 2011)	69577	457^th	3581
6	Number of Households without Internet (No, Census 2011)	20983	505^th	3128
7	Number of Households with Television (No, Census 2011)	157504	510^th	9357
8	Bank Credit (Crore, RBI SCB Q4 2022)	38207	512^th	8709
9	Bank Loans/Household (Lakhs, RBI SCB 2023)	46	532^nd	1285
10	Number of Banks (No, RBI SCB Q4 2022)	225	548^th	3650
11	Number of Households with means of Transport as Car/ Jeep/Van (No, Census 2011)	15572	558^th	2056
12	Number of Households with rented houses (No, Census 2011)	37627	573^rd	2577
13	Number of Households with Internet (No, Census 2011)	10634	578^th	4956
14	GDP (Crores. RBI SCB 2023)	38608	596^th	8354
15	Bank Deposits (Crore, RBI SCB Q4 2022)	46408	605^th	2467
16	Bank Deposit/Household (Lakhs, RBI SCB 2023)	53	606^th	7796

Negative Metrics:

Population: 41,377 | Population Rank: 525^th

Area (KM²): 3,853 | Area Rank: 317^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	153^rd	6626

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Population per sq. km. (Km, Census 2011)	1023	228^th	2795
2	Sex-Ratio (1000) (%, Census 2011)	949	286^th	4759

Negative Metrics:

Population: 41,377 | Population Rank: 525^th

Area (KM²): 3,853 | Area Rank: 317^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	8844
2	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years) (No, AISHE 2020)	28	55^th	1761
3	# of Universities (No, AISHE 2020)	1	153^rd	1642
4	# of No. of Schools (No, UDISE 2021)	1937	270^th	7562

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of UG Enrolments - Commerce (No, AISHE 2020)	4172	1^st	9350
2	# of UG Enrolments - Medical (No, AISHE 2020)	358	1^st	2041
3	# of PG Enrolments - Commerce (No, AISHE 2020)	344	1^st	6019
4	# of Population (0-18) (No, Census 2011)	136937	258^th	10570
5	# of UG Enrolments - Teaching (No, AISHE 2020)	2447	258^th	7549
6	# of PG Enrolments - Engg (No, AISHE 2020)	250	294^th	9896
7	Population (18-24) (Number, 2023)	208496	297^th	3377
8	# of UG Enrolments - Engg (No, AISHE 2020)	5379	298^th	3125
9	# of Enrolment in Private and Government Colleges (No, AISHE 2020)	36821	306^th	1623
10	# of UG Enrolments - Science (No, AISHE 2020)	6311	313^th	2446
11	# of PG Enrolments - Science (No, AISHE 2020)	1015	313^th	8015
12	# of Diploma (No, AISHE 2020)	3877	315^th	2867
13	# of ITIS seats (No, AISHE 2020)	4706	327^th	8472
14	# of Colleges (No, AISHE 2020)	56	342^nd	6799
15	# of PG Enrolments - Arts (No, AISHE 2020)	1087	378^th	6376
16	# of UG Enrolments - Arts (No, AISHE 2020)	9152	379^th	10649
17	# of UG Diploma Enrolments (No, AISHE 2020)	334	383^rd	2717
18	# of Total Enrolments (No, AISHE 2020)	49523	387^th	4744
19	# of UG Enrolments - Management (No, AISHE 2020)	719	389^th	3339
20	# of Bachelor's Enrolment (No, AISHE 2020)	42477	409^th	7594
21	# of UG Enrolments - Law (No, AISHE 2020)	654	411^th	3431
22	# of PG Enrolments - Management (No, AISHE 2020)	591	446^th	10896
23	# of Master's Enrolment (No, AISHE 2020)	6137	519^th	10597
24	# of Ph.D Enrolments (No, AISHE 2020)	275	591^st	7891

Negative Metrics:

Population: 41,377 | Population Rank: 525^th

Area (KM²): 3,853 | Area Rank: 317^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Panchayats (Number , Census 2011)	745	200^th	1599
2	Sanctioned Police Force Number (NO, IPC 2020)	1416	219^th	5777

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Police Stations (NO, IPC 2020)	22	305^th	4012

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	83^rd	8974
2	Number of Missing Persons (NO, IPC 2020)	267	176^th	5880
3	Number of Cyber Crimes (NO, IPC 2020)	25	182^nd	6008
4	Murder/Lakh Pop (Ratio, IPC 2020)	1	189^th	4681

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Murders (NO, IPC 2020)	25	385^th	1792
2	Number of IPC Crimes (NO, IPC 2020)	2801	468^th	7692

Population: 41,377 | Population Rank: 525^th

Area (KM²): 3,853 | Area Rank: 317^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	City FB Users % of City Literate Population (%, FB 2022)	134	54^th	10502
2	Linkedin Audience Size (No, Linked in 2024)	118602	84^th	4961
3	Urban Internet Pop/City Pop (%, TRAI June 2023)	165	186^th	5660

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	English Speakers (Second Language + Third Language (No, Census 2011)	187044	259^th	4658
2	Number of Internet Connections (No, TRAI 2023)	593683	265^th	9831
3	Number of Facebook Users. (Estimated Maximum) (No, FB 2024)	476772	412^th	7066

Negative Metrics:

Population: 41,377 | Population Rank: 525^th

Area (KM²): 3,853 | Area Rank: 317^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Literacy (%, Census 2023)Estd	78	107^th	5423

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Latin Script (English)	2647	1^st	3996
2	Script Pools # < 30, 000	1	1^st	4395
3	DHQ Mother Tongue Population (No, Census 2011)	254303	17^th	9633
4	Perso-Arabic Script (Urdu)	33190	128^th	7679
5	Odia Script	5442	139^th	5288
6	Bengali Script	13153	162^nd	3572
7	Devnagri Script (Hindi)	137058	175^th	10692
8	Malayalam Script	6112	175^th	8840
9	Tamil Script	23886	193^rd	8053
10	Marathi Script	27903	229^th	6927
11	English Multilingual Population	50193	240^th	2094
12	Gujarati Script	25953	270^th	2773
13	Telugu Script	39429	283^rd	5149
14	Gurumukhi Script (Punjabi)	10774	296^th	4477
15	Kannada Script	23603	320^th	4978
16	Assamese Script	3229	340^th	2826

Negative Metrics:

Population: 41,377 | Population Rank: 525^th

Area (KM²): 3,853 | Area Rank: 317^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	39^th	11121
2	Number of Dailies or Magazines (No, RNI 2020)	221	98^th	5493

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Theatres (No, BOC 2020)	22	578^th	10135

Negative Metrics:

Population: 41,377 | Population Rank: 525^th

Area (KM²): 3,853 | Area Rank: 317^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Urbanization (% , Census 2011)	26	149^th	3122
2	# of Households with Main source of Lighting as Solar Energy	1508	153^rd	7897
3	# of Households that use LPG/PNG as fuel for Cooking	96340	193^rd	6725
4	# of Inhabited Villages	777	201^st	2259
5	Number of towns (Number , Census 2011)	10	215^th	5440

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	1252
2	Number of households (Number , Census 2011)	326286	347^th	10381
3	# of Households with 1 married couple	228663	349^th	2622
4	# of Households with Main source of Lighting as Electricity	222703	474^th	2307
5	# of Households with Location of drinking water source within premises	154278	478^th	5442
6	Urban Population (Number , Census 2011)	531234	515^th	1655
7	# of Uninhabited Villages	64	525^th	5305
8	Number of households having latrine facility within the premises	156908	535^th	2000

Negative Metrics:

Population: 41,377 | Population Rank: 525^th

Area (KM²): 3,853 | Area Rank: 317^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Central Govt Jobs(Formal),2023	6050	1^st	9464
2	Central PSU Jobs(Formal),2023	1938	1^st	5106
3	Private Jobs(Formal),2023	15104	1^st	6288
4	Informal Jobs(DHQ),2023	56813	211^th	8027
5	Informal Jobs(Dist.),2023	626770	257^th	1841
6	# of Companies,2023	1876	313^th	9143
7	State Govt Jobs(Formal) DHQ,2023	14249	411^th	10657
8	Formal Jobs(DHQ),2023	37084	420^th	10589
9	State Govt Jobs(Formal) Dist.,2023	23664	520^th	9215
10	Formal Jobs(Dist.),2023	25014	531^st	9869

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.