Lawngtlai AI Report
Date: May 8, 2025
Lawngtlai, located in Mizoram, has 4.1% of the state's population.
Lawngtlai is the 563rd ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Lawngtlai District in Mizoram State. Lawngtlai District is 692nd highest ranked in population and 505th ranked in area, in India.

Lawngtlai is the 1st highest ranked in out of 768 city/districts of India. This indicates a good ratio of educational institute to population.
The average of Indian city (district capitals)/districts is 1. Lawngtlai is the 22nd highest ranked city out of 768 city/districts.This indicates that this district has a higher birth rate and/or higher attractiveness for migrants.
The average of Indian city (district capitals)/districts is 19. Lawngtlai is the 22nd highest ranked city out of 768 city/districts.This implies that this district has a higher birth rate and/or higher attractiveness for migrants.
The average of Indian city (district capitals)/districts is 29. Lawngtlai is the 289th highest ranked city out of 768 city/districts.This indicates a safer district as compared to other districts.








Out of 768 District Capitals/Districts of India, Lawngtlai is the 153rd worst ranked in . This implies lesser effectiveness of law and order in this district compared to other districts.
The Average of Indian City (District Capitals)/Districts is 26. Lawngtlai is the 398th worst ranked City out of 768 City/Districts. This indicates that this district is less urbanised compared to other districts.
The Average of Indian City (District Capitals)/Districts is 4. Lawngtlai is the 381st worst ranked City out of 768 City/Districts. This implies that standard of living of people in this district is poor compared to other districts.
Lawngtlai is the 337th worst ranked in out of 768 city/districts of India. This indicates an inequity of gender ( men and women ratio).
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Lawngtlai Nature Highlights
Nature Metrics | % of India | Rank Out of 768 | City / Districts Data | |
---|---|---|---|---|
Ab. Prod (000' tonnes) Banana Production |
Ab. Prod (000' tonnes) Banana Production | 0.02% | 18th | 6332 |
Ab. Prod (Lakh tonnes) Chickpea Production |
Ab. Prod (Lakh tonnes) Chickpea Production | 0.05% | 117th | 11167 |
Ab. Prod (000' tonnes ) Potatoes Production |
Ab. Prod (000' tonnes ) Potatoes Production | 0.01% | 123rd | 6462 |
Ab. Prod (000' Tonnes) Onion Production |
Ab. Prod (000' Tonnes) Onion Production | 0.02% | 176th | 8949 |
Lawngtlai Culture Highlights
Sr.No | Culture Metrics | Counts | Name |
---|
Lawngtlai
Health Metrics
Better than India Average-
Sr. | Fields | India Average | Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | No of District Hospital | 1 | 52nd | 5893 |
Worse than India Average-
Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | No of Community Health Centers | 9 | 43rd | 5594 |
2 | No of Primary Health Centers | 48 | 66th | 10239 |
3 | No of Total Hospitals | 61 | 66th | 4929 |
4 | No of Doctors | 1795 | 68th | 4935 |
5 | No of Hospital Beds | 1470 | 102nd | 3199 |
6 | No of Nurses | 3392 | 162nd | 2097 |
Lawngtlai
Wealth Metrics
Worse than India Average-
Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | GDP (Crores. RBI SCB 2023) | 27789 | 44th | 1626 |
2 | Number of Banks (No, RBI SCB Q3 2024) | 183 | 45th | 6074 |
3 | Number of Households with means of Transport as Scooter/ Motorcycle/Moped (No, Census 2011) | 69577 | 48th | 2688 |
4 | Bank Deposits (Crore, RBI SCB Q3 2024) | 28688 | 60th | 8396 |
5 | Bank Deposit/Household (Lakhs, RBI SCB 2024) | 14 | 61st | 2500 |
6 | Bank Credit (Crore, RBI SCB Q3 2024) | 23154 | 72nd | 2793 |
7 | Bank Loans/Household (Lakhs, RBI SCB 2024) | 11 | 75th | 8454 |
8 | Number of Households with Mobile only (No, Census 2011) | 174173 | 76th | 7777 |
9 | Number of Households with Internet (No, Census 2011) | 10634 | 81st | 8178 |
10 | Number of Households with Television (No, Census 2011) | 157504 | 84th | 3132 |
11 | % of Household with Mobiles (%, Census 2011) | 51 | 92nd | 6984 |
12 | Number of Households without Internet (No, Census 2011) | 20983 | 100th | 5198 |
13 | GDP per Capita ('000', RBI SCB 2023) | 118 | 101st | 9841 |
14 | Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car (No, Census 2011) | 15680 | 103rd | 6637 |
15 | Number of Households with Owned houses (No, Census 2011) | 280805 | 104th | 9450 |
16 | Number of Households with means of Transport as Car/ Jeep/Van (No, Census 2011) | 15572 | 107th | 9938 |
17 | Number of Households with rented houses (No, Census 2011) | 37627 | 172nd | 11061 |
18 | House Ownership % of Households (%, Census 2011) | 86 | 203rd | 10530 |
19 | Bank Deposit-Bank Loans (Crores, RBI SCB 2024) | 5533 | 216th | 5799 |
20 | Number of Households without TV, Internet, Radio, Computer, Mobile, Landline (No, Census 2011) | 57099 | 220th | 4501 |
21 | Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2024) | 23 | 272nd | 9557 |
22 | % of Households with Cars (%, Census 2011) | 4 | 381st | 2552 |
Lawngtlai
Demography Metrics
Better than India Average-
Sr. | Fields | India Average | Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | Decadal Growth Rate (2011) (%, Census 2011) | 19 | 22nd | 11029 |
Worse than India Average-
Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | Population per sq. km. (Km, Census 2011) | 1023 | 59th | 9588 |
2 | Sex-Ratio (1000) (%, Census 2011) | 949 | 337th | 11032 |
Lawngtlai
Education Metrics
Better than India Average-
Sr. | Fields | India Average | Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | Gross Enrolment Ratio (GER) in Higher Education (18-23 Years) (No, AISHE 2021) | 29 | 293rd | 3173 |
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 | 31st | 8558 |
2 | # of ITIS seats (No, AISHE 2021) | 4319 | 38th | 10246 |
3 | # of UG Diploma Enrolments (No, AISHE 2021) | 334 | 47th | 4762 |
4 | # of Total Enrolments (No, AISHE 2021) | 49523 | 50th | 2631 |
5 | # of PG Enrolments - Engg (No, AISHE 2021) | 193 | 57th | 10774 |
6 | # of Enrolment in Private and Government Colleges (No, AISHE 2021) | 39460 | 60th | 2602 |
7 | # of Colleges (No, AISHE 2021) | 57 | 63rd | 2389 |
8 | # of Master's Enrolment (No, AISHE 2021) | 6788 | 64th | 10203 |
9 | # of Bachelor's Enrolment (No, AISHE 2021) | 44296 | 66th | 2220 |
10 | # of UG Enrolments - Engg (No, AISHE 2021) | 3322 | 66th | 5347 |
11 | Population (18-24) (Number, 2023) | 208496 | 86th | 6786 |
12 | # of UG Enrolments - Law (No, AISHE 2021) | 593 | 90th | 6199 |
13 | # of No. of Schools (No, UDISE 2023) | 1915 | 94th | 5206 |
14 | # of Diploma (No, AISHE 2021) | 3658 | 167th | 1560 |
15 | # of UG Enrolments - Medical (No, AISHE 2021) | 416 | 197th | 1801 |
16 | # of Population (0-18) (No, Census 2011) | 136937 | 206th | 3346 |
17 | # of Higher Education Enrolments % of Pop (No, UDISE 2023) | 2 | 271st | 1213 |
18 | # of Ph.D Enrolments (No, AISHE 2021) | 258 | 287th | 1981 |
Lawngtlai
Governance Metrics
Better than India Average-
Sr. | Fields | India Average | Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | Murder/Lakh Pop (Ratio, NCRB 2022) | 1 | 153rd | 4355 |
2 | Crime/1000 Pop (Ratio, NCRB 2022) | 1 | 321st | 6676 |
Worse than India Average-
Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | Number of Police Stations (NO, IPC 2020) | 22 | 60th | 1676 |
2 | Number of Panchayats (Number , Census 2011) | 745 | 209th | 3408 |
3 | Sanctioned Police Force Number (NO, IPC 2020) | 1416 | 450th | 3170 |
4 | Number of IPC Crimes (NO, NCRB 2022) | 2654 | 253rd | 9893 |
5 | Number of Murders (NO, NCRB 2022) | 24 | 270th | 8781 |
6 | Number of Cyber Crimes (NO, NCRB 2022) | 29 | 289th | 2466 |
Lawngtlai
Internet Metrics
Worse than India Average-
Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | Urban Internet Pop/City Pop (%, TRAI September 2024) | 123 | 23rd | 1596 |
2 | English Speakers (Second Language + Third Language (No, Census 2011) | 162759 | 94th | 8550 |
3 | Number of Internet Connections (No, TRAI 2024) | 413842 | 112th | 10229 |
4 | Linkedin Audience Size(No, Linked in Jan, 2025) | 132859 | 116th | 2417 |
5 | City FB Users % of City Literate Population (%, FB 2025) | 106 | 139th | 7994 |
6 | Number of Facebook Users. (Estimated Maximum)(No,Feb. 2025) | 171050 | 152nd | 3596 |
Lawngtlai
Language Metrics
Better than India Average-
Sr. | Fields | India Average | Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | Literacy (%, Census 2023)Estd | 78 | 1st | 5416 |
2 | Latin Script (English) | 2647 | 12th | 9464 |
Worse than India Average-
Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | Devnagri Script (Hindi) | 137058 | 117th | 2794 |
2 | Perso-Arabic Script (Urdu) | 33190 | 205th | 2349 |
3 | English Multilingual Population | 50193 | 225th | 4832 |
4 | DHQ Mother Tongue Population (No, Census 2011) | 254303 | 233rd | 6991 |
5 | Odia Script | 5442 | 265th | 8838 |
6 | Telugu Script | 39429 | 270th | 5024 |
7 | Gurumukhi Script (Punjabi) | 10774 | 311th | 9834 |
8 | Marathi Script | 27903 | 333rd | 8248 |
9 | Kannada Script | 23603 | 341st | 10900 |
10 | Tamil Script | 23886 | 351st | 2602 |
11 | Malayalam Script | 6112 | 384th | 4481 |
12 | Bengali Script | 13153 | 540th | 5941 |
13 | Assamese Script | 3229 | 610th | 8029 |
Lawngtlai
Media Metrics
Worse than India Average-
Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | Total Annual Newspaper Circulation (No, RNI 2022) | 656764 | 151st | 10472 |
2 | Number of Dailies or Magazines (No, RNI 2022) | 240 | 180th | 8143 |
Lawngtlai
Urbanization Metrics
Worse than India Average-
Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | # of Households with Location of drinking water source within premises | 154278 | 46th | 6217 |
2 | Number of towns (Number , Census 2011) | 10 | 54th | 7415 |
3 | # of Households with Main source of Lighting as Electricity | 222703 | 75th | 1212 |
4 | Number of households (Number , Census 2011) | 326286 | 99th | 3085 |
5 | # of Households with 1 married couple | 228663 | 106th | 1131 |
6 | Urban Population (Number , Census 2011) | 531234 | 116th | 2593 |
7 | # of Households that use LPG/PNG as fuel for Cooking | 96340 | 135th | 10044 |
8 | Number of households having latrine facility within the premises | 156908 | 141st | 3068 |
9 | # of Inhabited Villages | 777 | 208th | 3921 |
10 | # of Uninhabited Villages | 64 | 283rd | 9600 |
11 | Urbanization (% , Census 2011) | 26 | 398th | 8010 |
12 | # of Households with Main source of Lighting as Solar Energy | 1508 | 565th | 9030 |
Lawngtlai
Work Metrics
Worse than India Average-
Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
---|---|---|---|---|
1 | # of Companies,2023 | 1876 | 38th | 9797 |
2 | Informal Jobs(Dist.),2023 | 626770 | 60th | 8887 |
3 | State Govt Jobs(Formal) Dist.,2023 | 23664 | 122nd | 2019 |
4 | Formal Jobs(Dist.),2023 | 25014 | 132nd | 6709 |
5 | State Govt Jobs(Formal) DHQ,2023 | 14249 | 175th | 8171 |
6 | Formal Jobs(DHQ),2023 | 37084 | 184th | 8263 |
7 | Informal Jobs(DHQ),2023 | 56813 | 193rd | 1923 |
languages
City (district
capitals)/DHQ
- 1. Lushai : 11,062
- 2. Pawi : 7,674
- 3. English Multilingual Population : 4,840
Number Of Languages spoken by more then 30K Population : 1
Basic Details
City (District Capitals)/DHQ
Population : |
: | 20,830 |
---|---|---|
City(District Capitals)/DHQ Population (Rank) |
: | 563rd |
District Area (km2) |
: | 2,519 |
District Area (Rank) |
: | 505th |
No.of Towns
in District |
: | 1 |
No. of Villages
in District |
: | 168 |

Frequently Asked Questions :
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.