Prarang: G2C

Shimla Analytics

languages
City (district capitals)/DHQ

1. Hindi : 148,114
2. English Multilingual Population : 27,038
3. Punjabi : 9,958

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

Basic Details

City (District Capitals)/DHQ Population :	:	169,578
City(District Capitals)/DHQ Population (Rank)	:	241^st
District Area (km²)	:	5,131
District Area (Rank)	:	206^th
No.of Towns in District	:	215
No. of Villages in District	:	17

What is A.I.? FAQ

Shimla Highlights: India City/Districts Comparison

Shimla is the 241^st ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Shimla District in Himachal Pradesh State. Shimla District is 536^th highest ranked in population & 206^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Shimla 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 Urban Internet Pop/City Pop (%, TRAI June 2023) of Indian city (district capitals)/districts is 165. Shimla is the 6^th highest ranked city out of 768 city/districts. This indicates higher number of state urban internet users as reported in TRAI quarterly report vis a vis other state's urban internet users.

3.
Out of 768 District Capitals/Districts of India, Shimla is the 11^th highest ranked in No of Sub Divisional Hospital . This indicates that the government has paid more attention to healthcare in this district compared to other districts.

4.
Out of 768 District Capitals/Districts of India Shimla is the 416^th best ranked in Number of IPC Crimes (NO, IPC 2020) . This indicates a safer district as compared to other districts.

5.
Shimla is the 399^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 Cyber Crimes (NO, IPC 2020) of Indian City(District Capitals)/Districts is 25 . Shimla is the 342^nd best ranked City out of 768 City/Districts. This indicates a safer district as compared to other districts.

Worse than India Average-

1.
Shimla is the 178^th 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 Murder/Lakh Pop (Ratio, IPC 2020) of Indian City (District Capitals)/Districts is Shimla is the 372^nd 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, Shimla is the 708^th worst ranked in Formal Jobs(Dist.),2023 .This implies low private sector growth.

4.
Out of 768 District Capitals/Districts of India, Shimla is the 696^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.

5.
Shimla is the 684^th highest ranked in Bank Deposit/Household (Lakhs, RBI SCB 2023) out of 768 City/Districts of India.This implies that financial activities in this district are less compared to other districts.

Shimla City/District Metrics

Culture

Nature

Internet

Shimla Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
URANIUM (in tonnes)	URANIUM (in tonnes)	0.06%	17^th	9769
Ab. Prod (000' Tonnes) Onion Production	Ab. Prod (000' Tonnes) Onion Production	0.32%	69^th	7114
Ab. Prod (Mn Tonnes) Soyabean Production	Ab. Prod (Mn Tonnes) Soyabean Production	0.02%	94^th	5675

Shimla Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Princely State	Princely State	1	Delath
Cantt	Cantt	1	Shimla

Airports

	Name	City	IATA Code	Distance
Airport Name	Shimla Airport	Jubberhatti	SLV	7 Km

Population: 169,578 | Population Rank: 241^st

Area (KM²): 5,131 | Area Rank: 206^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	No of Sub Divisional Hospital	1	11^th	3865
2	No of Total Hospitals	59	102^nd	10140
3	No of Primary Health Centers	47	123^rd	5771
4	No of Community Health Centers	9	161^st	8475
5	No of District Hospital	1	179^th	5473

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Doctors	1729	279^th	1708
2	No of Hospital Beds	1599	513^th	8821
3	No of Nurses	3390	530^th	3928

Negative Metrics:

Population: 169,578 | Population Rank: 241^st

Area (KM²): 5,131 | Area Rank: 206^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	% of Household with Mobiles (%, Census 2011)	51	35^th	7748
2	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	22	45^th	5088
3	GDP per Capita ('000', RBI SCB 2023)	153	48^th	7199
4	% of Households with Cars (%, Census 2011)	4	52^nd	8430
5	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8200	66^th	9305
6	No. of Banks/1000 Household (in "1000", SCB 2023)	1	109^th	5362
7	Number of Households with means of Transport as Car/ Jeep/Van (No, Census 2011)	15572	117^th	2937
8	Number of Households with rented houses (No, Census 2011)	37627	139^th	5137
9	Number of Banks (No, RBI SCB Q4 2022)	225	148^th	8452

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	House Ownership % of Households (%, Census 2011)	86	75^th	2609
2	Number of Households with means of Transport as Scooter/ Motorcycle/Moped (No, Census 2011)	69577	207^th	11235
3	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline (No, Census 2011)	57099	222^nd	2858
4	Number of Households with Owned houses (No, Census 2011)	280805	299^th	8112
5	Number of Households with Mobile only (No, Census 2011)	174173	420^th	4586
6	Number of Households without Internet (No, Census 2011)	20983	454^th	8519
7	Number of Households with Television (No, Census 2011)	157504	517^th	5912
8	Bank Credit (Crore, RBI SCB Q4 2022)	38207	541^st	1154
9	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car (No, Census 2011)	15680	557^th	6686
10	Bank Loans/Household (Lakhs, RBI SCB 2023)	46	591^st	10793
11	Number of Households with Internet (No, Census 2011)	10634	615^th	4542
12	GDP (Crores. RBI SCB 2023)	38608	655^th	5510
13	Bank Deposits (Crore, RBI SCB Q4 2022)	46408	661^st	2647
14	Bank Deposit/Household (Lakhs, RBI SCB 2023)	53	684^th	8420

Negative Metrics:

Population: 169,578 | Population Rank: 241^st

Area (KM²): 5,131 | Area Rank: 206^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Population per sq. km. (Km, Census 2011)	1023	141^st	7065
2	Sex-Ratio (1000) (%, Census 2011)	949	197^th	7789
3	Decadal Growth Rate (2011) (%, Census 2011)	19	221^st	6602

Negative Metrics:

Population: 169,578 | Population Rank: 241^st

Area (KM²): 5,131 | Area Rank: 206^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	5651
2	# of Universities (No, AISHE 2020)	1	32^nd	9338
3	# of UG Enrolments - Medical (No, AISHE 2020)	358	40^th	5709
4	# of ITIS seats (No, AISHE 2020)	4706	62^nd	5314
5	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years) (No, AISHE 2020)	28	88^th	5904
6	# of UG Enrolments - Teaching (No, AISHE 2020)	2447	88^th	10899
7	# of Ph.D Enrolments (No, AISHE 2020)	275	92^nd	7657
8	# of Colleges (No, AISHE 2020)	56	106^th	10872
9	# of UG Enrolments - Science (No, AISHE 2020)	6311	107^th	10854
10	# of PG Enrolments - Science (No, AISHE 2020)	1015	107^th	5145
11	# of Total Enrolments (No, AISHE 2020)	49523	114^th	4670
12	# of Bachelor's Enrolment (No, AISHE 2020)	42477	121^st	8256
13	# of UG Enrolments - Engg (No, AISHE 2020)	5379	126^th	10642
14	# of PG Enrolments - Engg (No, AISHE 2020)	250	126^th	9479
15	# of Enrolment in Private and Government Colleges (No, AISHE 2020)	36821	132^nd	3084
16	# of Master's Enrolment (No, AISHE 2020)	6137	135^th	5169
17	# of PG Enrolments - Management (No, AISHE 2020)	591	139^th	5402
18	# of UG Diploma Enrolments (No, AISHE 2020)	334	146^th	8910
19	# of Diploma (No, AISHE 2020)	3877	162^nd	2967
20	# of No. of Schools (No, UDISE 2021)	1937	274^th	9065

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	6452
2	# of PG Enrolments - Commerce (No, AISHE 2020)	344	1^st	5595
3	# of Population (0-18) (No, Census 2011)	136937	494^th	6957
4	# of PG Enrolments - Arts (No, AISHE 2020)	1087	513^th	4350
5	# of UG Enrolments - Arts (No, AISHE 2020)	9152	514^th	5263
6	# of UG Enrolments - Law (No, AISHE 2020)	654	555^th	1374
7	# of UG Enrolments - Management (No, AISHE 2020)	719	589^th	6099
8	Population (18-24) (Number, 2023)	208496	605^th	6290

Negative Metrics:

Population: 169,578 | Population Rank: 241^st

Area (KM²): 5,131 | Area Rank: 206^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	17^th	1583
2	Sanctioned Police Force Number (NO, IPC 2020)	1416	202^nd	9339

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Police Stations (NO, IPC 2020)	22	344^th	4275

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	178^th	1975
2	Murder/Lakh Pop (Ratio, IPC 2020)	1	372^nd	8053

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Murders (NO, IPC 2020)	25	321^st	11206
2	Number of Cyber Crimes (NO, IPC 2020)	25	342^nd	10162
3	Number of Missing Persons (NO, IPC 2020)	267	399^th	5254
4	Number of IPC Crimes (NO, IPC 2020)	2801	416^th	8507

Population: 169,578 | Population Rank: 241^st

Area (KM²): 5,131 | Area Rank: 206^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Urban Internet Pop/City Pop (%, TRAI June 2023)	165	6^th	11010
2	Linkedin Audience Size (No, Linked in 2024)	118602	47^th	7230
3	Number of Facebook Users. (Estimated Maximum) (No, FB 2024)	476772	62^nd	6208
4	Number of Internet Connections (No, TRAI 2023)	593683	91^st	6156
5	City FB Users % of City Literate Population (%, FB 2022)	134	185^th	7910

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	613^th	2255

Negative Metrics:

Population: 169,578 | Population Rank: 241^st

Area (KM²): 5,131 | Area Rank: 206^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Gurumukhi Script (Punjabi)	10774	70^th	7630
2	Literacy (%, Census 2023)Estd	78	107^th	9622
3	Devnagri Script (Hindi)	137058	122^nd	11008
4	Script Pools # < 30, 000	1	243^rd	9096

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Perso-Arabic Script (Urdu)	33190	343^rd	6220
2	Telugu Script	39429	445^th	2791
3	Gujarati Script	25953	462^nd	6114
4	Marathi Script	27903	474^th	7453
5	Tamil Script	23886	504^th	2516
6	Kannada Script	23603	522^nd	8532
7	Bengali Script	13153	528^th	3757
8	Malayalam Script	6112	542^nd	7197
9	English Multilingual Population	50193	556^th	6482
10	DHQ Mother Tongue Population (No, Census 2011)	254303	557^th	4638
11	Assamese Script	3229	562^nd	1171
12	Odia Script	5442	592^nd	3055
13	Latin Script (English)	2647	607^th	10998

Negative Metrics:

Population: 169,578 | Population Rank: 241^st

Area (KM²): 5,131 | Area Rank: 206^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Total Annual Newspaper Circulation (No, RNI 2020)	596633	176^th	1907
2	Number of Dailies or Magazines (No, RNI 2020)	221	228^th	2219
3	Number of Theatres (No, BOC 2020)	22	383^rd	3865

Negative Metrics:

Population: 169,578 | Population Rank: 241^st

Area (KM²): 5,131 | Area Rank: 206^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of Uninhabited Villages	64	6^th	5478
2	# of Inhabited Villages	777	17^th	1317
3	# of Households that use Electricity as fuel for Cooking	566	73^rd	9507
4	# of Households that use LPG/PNG as fuel for Cooking	96340	182^nd	9226
5	Number of towns (Number , Census 2011)	10	215^th	1704

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of Households with Main source of Lighting as Solar Energy	1508	208^th	1893
2	# of Households with 1 married couple	228663	323^rd	2498
3	Number of households (Number , Census 2011)	326286	339^th	10655
4	Urban Population (Number , Census 2011)	531234	377^th	5865
5	# of Households with Location of drinking water source within premises	154278	437^th	9982
6	# of Households with Main source of Lighting as Electricity	222703	477^th	5620
7	Number of households having latrine facility within the premises	156908	495^th	1394
8	Urbanization (% , Census 2011)	26	499^th	4830

Negative Metrics:

Population: 169,578 | Population Rank: 241^st

Area (KM²): 5,131 | Area Rank: 206^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Central PSU Jobs(Formal),2023	1938	22^nd	3549
2	State Govt Jobs(Formal) DHQ,2023	14249	43^rd	6622
3	Formal Jobs(DHQ),2023	37084	60^th	4973

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Central Govt Jobs(Formal),2023	6050	1^st	3746
2	Private Jobs(Formal),2023	15104	1^st	9771
3	Informal Jobs(DHQ),2023	56813	101^st	4539
4	Informal Jobs(Dist.),2023	626770	298^th	9526
5	# of Companies,2023	1876	565^th	9724
6	State Govt Jobs(Formal) Dist.,2023	23664	696^th	8636
7	Formal Jobs(Dist.),2023	25014	708^th	7759

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.