Population: Telangana data was reported at 38.363 Person mn in 2025. This records an increase from the previous number of 38.181 Person mn for 2024. Population: Telangana data is updated yearly, averaging 36.766 Person mn from Mar 2005 (Median) to 2025, with 21 observations. The data reached an all-time high of 38.363 Person mn in 2025 and a record low of 32.741 Person mn in 2005. Population: Telangana data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under Global Database’s India – Table IN.GBG001: Population. [COVID-19-IMPACT]

According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of men had disabilities compared to women in India. Specifically in Telangana, 2.3 percent of men had multiple disabilities, while this was at 1.8 percent among females. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of disabled males was present in rural Telangana at 2.5 percent. The southern Indian state had a lesser share of disabled people in urban areas. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

Worker Population Ratio: Usual Status: Education: Middle: Telangana: Female data was reported at 44.000 % in 2024. This records an increase from the previous number of 41.000 % for 2023. Worker Population Ratio: Usual Status: Education: Middle: Telangana: Female data is updated yearly, averaging 37.800 % from Jun 2018 (Median) to 2024, with 7 observations. The data reached an all-time high of 44.000 % in 2024 and a record low of 20.300 % in 2018. Worker Population Ratio: Usual Status: Education: Middle: Telangana: Female data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Labour Market – Table IN.GBA029: Periodic Labour Force Survey: Annual: Worker Population Ratio: Usual Status: by State: Education Level: Middle.

Detailed output (age-wise), AnyLogic model file, synthetic population, and input spreadsheet have been provided in the attached files.

According to the 76th round of the NSO survey conducted between July and December 2018, Telangana had a higher percentage of disabled men with a certificate of disability at 53.6 percent. The disability certificate was issued by the medical board to persons with more than 40 percent of any disability. This provides eligibility to apply for facilities, concessions and other benefits provided under various schemes.

66,5 (%) in 2017. 1. Literacy rates for 1951, 1961 and 1971 Censuses relate to population aged five years and above. The rates for the 1981, 1991 and 2001 Censuses relate to the population aged seven years and above. The literacy rate for 1951 in case of West Bengal relates to Total population including 0-4 age group. Literacy rate for 1951 in respect of Chhatisgarg, Madhya Pradesh and Manipur are based on sample population. 2. India and Manipur figures exclude those of the three sub-divisions viz. Mao Maram, Paomata and Purul of Senapati district of Manipur as census results of 2001 in these three sub-divisions were cancelled due to technical and administrative reasons. 3. N.A. - Not available as no census was carried out in Assam during 1981 and in Jammu & Kashmir during 1991. 4. Created in 2001. Uttaranchal Pradesh, Jharkhand and Chattisgarh for 1981 and 1991 are included under Uttar Pradesh, Bihar and Madhya Pradesh respectively.

Vital Statistics: Birth Rate: per 1000 Population: Telangana data was reported at 16.400 NA in 2020. This records a decrease from the previous number of 16.700 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Telangana data is updated yearly, averaging 17.200 NA from Dec 2014 (Median) to 2020, with 7 observations. The data reached an all-time high of 18.000 NA in 2014 and a record low of 16.400 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Telangana data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

Chart and table of population level and growth rate for the Hyderabad, Pakistan metro area from 1950 to 2025.

POPULATION PROIECTIONS FOR INDIA AND STATES 2011 – 2036 (Downscaled to District, Sub-Districts and Villages/Towns by Esri India)REPORT OF THE TECHNICAL GROUP ON POPULATION PROIECTTONSJuly, 2020The projected population figures provided by the Registrar General of India forms the basis for planning and implementation of various health interventions including RMNCH+A, which are aimed at improving the overall health outcomes by ensuring quality service provision to all the health beneficiaries. These interventions focus on antenatal, intranatal and neonatal care aimed at reducing maternal and neonatal morbidity and mortality; improving coverage and quality of health care interventions and improving coverage for immunization against vaccine preventable diseases. Further, these estimates would also enable us to tackle the special health care needs of various population age groups, thus gearing the system for necessary preventive, promotive, curative, and rehabilitative services for the growing population to this report. PREETI SUDAN, IAS SecretaryThe Cohort Component Method is the universally accepted method of making population projections because of the fact that the growth of population is determined by fertility, mortality, and migration rates. In this exercise, 20 States and two UTs have been applied the Cohort Component method. These are Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Himachal Pradesh, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Odisha, Punjab, Rajasthan, Tamil Nadu, Telangana, Uttar Pradesh, West Bengal, Jharkhand, Chhattisgarh, Uttarakhand, Jammu & Kashmir (UT) and NCT of Delhi. Based on the residual of the projected population of Jammu & Kashmir (State) and Jammu & Kashmir (UT), for which Cohort Component method has applied, projection of the Ladakh UT have been made. For the projections of Jammu & Kashmir (UT), SRS fertility and mortality estimates of Jammu & Kashmir (State) are used. The projection of the seven northeastern states (excluding Assam) has also been carried out as a whole using the Cohort Component Method. Separate projections for Andhra Pradesh and Telangana were done using the re-casted populations of these states. For the projections, for the years before 2014, combined SRS estimates of Andhra Pradesh and year 2014 onwards, separate SRS estimates of fertility and mortality of Andhra Pradesh and Telangana are used. For the remaining States and Union territories, Mathematical Method has been applied. The sources of data used are 2011 Census and Sample Registration System (SRS). SRS provides time series data of fertility and mortality, which has been used for predicting their future levelsEsri India Efforts:The Population Projections Report published by MoHFW contains output summary tables from series Table 8 to Table 14. Example: TABLE – 8: Projected total population by sex as on 1st March, 2011-2036: India, States and Union territories, TABLE – 9: Projected urban population by sex as on 1st March, 2011-2036: India, States and Union territories, etc. The parameters available with these census data tables are Census Year, Projected Total Persons with Gender categorization and Projected Urban Population from 2011 to 2036.By subtracting “Projected Urban Population” from “Projected Total Population”, a new data column has been added as “Projected Rural Population”. The data is available for all Union Territory and States for 25 years.A factor has been calculated by taking projected population and the base year population (2011). Subsequently, the factor is calculated for each year using the projected values provided by census of India. Projected Population by Sex as on 1st March - 2011 - 2036: India, States and Union Territories* ('000)YearGUJARAT GUJARAT URBANGUJARAT RURALPersonsMaleFemalePersonMaleFemalePersonMaleFemale2011 60,440 (A) 31,49128,94825,74513,69412,05134,69517,79716,8972012 61,383 (B)32,00729,37626,47214,08112,39134,91117,92616,985Factor has been applied below State level- Projected Population by Sex as on 1st March - 2011 - 2036: India, States and Union Territories* ('000)YearGUJARAT GUJARAT URBANGUJARAT RURALPersonsMaleFemalePersonMaleFemalePersonMaleFemale20121.01560225 (B/A)1.0163856341.0147851321.0282384931.0282605521.0282134261.0062256811.0072484131.005208025Esri India has access to SOI admin boundaries up-to district level and developed village, town and sub-district boundaries using census maps. The calculated factors have been applied to smallest geography at villages and towns and upscaled back to sub-district, district, state, and country. The derived values have been compared with the original values provided by census at state level and no deviation is confirmed.Data Variables: Year (2011-2036)Total Population MaleFemaleTotal Population UrbanMale UrbanFemale UrbanTotal Population RuralMale RuralFemale RuralData source: https://main.mohfw.gov.in/sites/default/files/Population Projection Report 2011-2036 - upload_compressed_0.pdfOther related contents are also available:India Population Projections 2011-2036Village Population Projections for India 2011-2036Sub-district Population Projections for India 2011-2036State Population Projections for India 2011-2036Country Population Projections for India 2011-2036This web layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.

Vital Statistics: Death Rate: per 1000 Population: Telangana: Rural data was reported at 7.200 NA in 2020. This stayed constant from the previous number of 7.200 NA for 2019. Vital Statistics: Death Rate: per 1000 Population: Telangana: Rural data is updated yearly, averaging 7.500 NA from Dec 2014 (Median) to 2020, with 7 observations. The data reached an all-time high of 8.000 NA in 2017 and a record low of 7.100 NA in 2016. Vital Statistics: Death Rate: per 1000 Population: Telangana: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH003: Vital Statistics: Death Rate: by States.

Abstract

The Enterprise Surveys of Micro firms (ESM) conducted by the World Bank Group's (WBG) Enterprise Analysis Unit (DECEA) in India. The survey covers nine cities: Hyderabad, Telangana; Jaipur, Rajasthan; Kochi, Kerala; Ludhiana, Punjab; Mumbai, Maharashtra; Sehore, Madhya Pradesh; Surat, Gujarat; Tezpur, Assam; and Varanasi, Uttar Pradesh.

The primary objectives of the ESM are to: i) understand demographics of the micro enterprises in the covered cities, ii) describe the environment within which these enterprises operate, and iii) enable data analysis based on the samples that are representative at each city level.

Geographic coverage

Nine cities in India: Hyderabad, Telangana; Jaipur, Rajasthan; Kochi, Kerala; Ludhiana, Punjab; Mumbai, Maharashtra; Sehore, Madhya Pradesh; Surat, Gujarat; Tezpur, Assam; and Varanasi, Uttar Pradesh.

Analysis unit

• Firms

Universe

The universe of ESM includes formally registered businesses in the sectors covered by the ES and with less than five employees. The definition of formal registration can vary by country. The universe table for each of the nine cities covered by ESM in India was obtained from the 6th Economic Census (EC) of India (conducted between January 2013 and April 2014), which has its own well-defined definition of registration. Generally, this entails registration with any central/government agency, under Shops & Establishment Act, Factories Act etc.

In terms of sectors, the survey covers all non-agricultural and non-extractive sectors. In particular, according to the group classification of ISIC Revision 4.0, it includes: all manufacturing sectors (group D), construction (group F), wholesale and retail trade (group G), transportation and storage (group H), accommodation and food service activities (group I), a subset of information and communications (group J), some administrative and support service activities (codes 79) and other service activities (codes 95). Notably, the ESM universe excludes the following sectors: financial and insurance activities (group K), real estate activities (group L), and all public or utilities-sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Enterprise Survey of Micro firms in India 2022 was selected using stratified random sampling, following the methodology explained in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-Consolidated-2-16-22.pdf). Stratified random sampling was preferred over simple random sampling for several reasons, including: a. To obtain unbiased estimates for different subdivisions of the population with some known level of precision, along with the unbiased estimates for the whole population. b. To make sure that the final total sample includes establishments from all different sectors and that it is not concentrated in one or two of industries/sizes/regions. c. To exploit the benefits of stratified sampling where population estimates, in most cases, will be more precise than using a simple random sampling method (i.e., lower standard errors, other things being equal.) d. Stratification may produce a smaller bound on the error of estimation than would be produced by a simple random sample of the same size. This result is particularly true if measurements within strata are homogeneous. e. The cost per observation in the survey may be reduced by stratification of the population elements into convenient groupings.

Two levels of stratification were used in this survey: industry and region. For stratification by industry, two groups were used: Manufacturing (combining all the relevant activities in ISIC Rev. 4.0 codes 10-33) and Services (remainder of the universe, as outlined above). Regional stratification was done across nine cities included in the study, namely: Hyderabad, Jaipur, Kochi, Ludhiana, Mumbai, Sehore, Surat, Tezpur and Varanasi.

Mode of data collection

Face-to-face [f2f]

Census: Population: Andhra Pradesh: Warangal data was reported at 759,594.000 Person in 03-01-2011. This records an increase from the previous number of 579,216.000 Person for 03-01-2001. Census: Population: Andhra Pradesh: Warangal data is updated decadal, averaging 144,618.000 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 759,594.000 Person in 03-01-2011 and a record low of 10,487.000 Person in 03-01-1901. Census: Population: Andhra Pradesh: Warangal data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC033: Census: Population: By Towns and Urban Agglomerations: Telangana.

Vital Statistics: Death Rate: per 1000 Population: Telangana: Urban data was reported at 4.200 NA in 2020. This records a decrease from the previous number of 4.300 NA for 2019. Vital Statistics: Death Rate: per 1000 Population: Telangana: Urban data is updated yearly, averaging 4.500 NA from Dec 2014 (Median) to 2020, with 7 observations. The data reached an all-time high of 4.900 NA in 2015 and a record low of 4.200 NA in 2020. Vital Statistics: Death Rate: per 1000 Population: Telangana: Urban data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH003: Vital Statistics: Death Rate: by States.

Demographic information of the study population.

Worker Population Ratio: Usual Status: Education: Secondary and Above: Telangana: Urban data was reported at 50.400 % in 2024. This records an increase from the previous number of 46.300 % for 2023. Worker Population Ratio: Usual Status: Education: Secondary and Above: Telangana: Urban data is updated yearly, averaging 46.300 % from Jun 2018 (Median) to 2024, with 7 observations. The data reached an all-time high of 50.400 % in 2024 and a record low of 42.800 % in 2019. Worker Population Ratio: Usual Status: Education: Secondary and Above: Telangana: Urban data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Labour Market – Table IN.GBA031: Periodic Labour Force Survey: Annual: Worker Population Ratio: Usual Status: by State: Education Level: Secondary and Above.

The estimated per capita income across Sikkim was the highest among Indian states at around *** thousand Indian rupees in the financial year 2024. Meanwhile, it was the lowest in the northern state of Bihar at over ** thousand rupees. India’s youngest state, Telangana stood in the fifth place. The country's average per capita income that year was an estimated *** thousand rupees. What is per capita income? Per capita income is a measure of the average income earned per person in a given area in a certain period. It is calculated by dividing the area's total income by its total population. If absolute numbers are noted, India’s per capita income doubled from the financial year 2015 to 2023. Wealth inequality However, as per economists, the increase in the per capita income of a country does not always reflect an increase in the income of the entire population. Wealth distribution in India remains highly skewed. The average income hides the disbursal and inequality in a society. Especially in a society like India where the top one percent owned over ** percent of the total wealth in 2022.

Worker Population Ratio: Usual Status: Education: Graduate: Telangana: Urban data was reported at 61.300 % in 2024. This records an increase from the previous number of 57.800 % for 2023. Worker Population Ratio: Usual Status: Education: Graduate: Telangana: Urban data is updated yearly, averaging 54.500 % from Jun 2018 (Median) to 2024, with 7 observations. The data reached an all-time high of 61.300 % in 2024 and a record low of 44.100 % in 2019. Worker Population Ratio: Usual Status: Education: Graduate: Telangana: Urban data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Labour Market – Table IN.GBA034: Periodic Labour Force Survey: Annual: Worker Population Ratio: Usual Status: by State: Education Level: Graduate.

As of 2011 in India, approximately **** percent of people with disability in Puducherry received help from the government. Along with Telangana and Dadra and Nagar Haveli, at respectively **** and **** percent of disabled population, these three regions were the only regions where more than half of the disabled population received assistance from the government. In comparison, government aid reached less than *** percent of disabled people in Arunachal Pradesh.

Worker Population Ratio: Usual Status: Education: Secondary and Above: Telangana: Female data was reported at 32.300 % in 2024. This records an increase from the previous number of 29.700 % for 2023. Worker Population Ratio: Usual Status: Education: Secondary and Above: Telangana: Female data is updated yearly, averaging 26.200 % from Jun 2018 (Median) to 2024, with 7 observations. The data reached an all-time high of 32.300 % in 2024 and a record low of 17.100 % in 2018. Worker Population Ratio: Usual Status: Education: Secondary and Above: Telangana: Female data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Labour Market – Table IN.GBA031: Periodic Labour Force Survey: Annual: Worker Population Ratio: Usual Status: by State: Education Level: Secondary and Above.