Vital Statistics: Natural Growth Rate: per 1000 Population: Tamil Nadu data was reported at 7.700 NA in 2020. This records a decrease from the previous number of 8.100 NA for 2019. Vital Statistics: Natural Growth Rate: per 1000 Population: Tamil Nadu data is updated yearly, averaging 8.600 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 11.400 NA in 2001 and a record low of 7.700 NA in 2020. Vital Statistics: Natural Growth Rate: per 1000 Population: Tamil Nadu 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.GAH004: Vital Statistics: Natural Growth Rate: by States.

The southern state of Tamil Nadu in India recorded a population density of 555 people for every square kilometer according to the country's latest census in 2011. This was a significant increase compared to a decade earlier where the figure stood at 480.

Vital Statistics: Birth Rate: per 1000 Population: Tamil Nadu data was reported at 13.800 NA in 2020. This records a decrease from the previous number of 14.200 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Tamil Nadu data is updated yearly, averaging 15.900 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 19.300 NA in 2000 and a record low of 13.800 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Tamil Nadu 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.

The population of the southern city of Chennai in India amounted to about ten million inhabitants. This was an increase of approximately two million inhabitants compared to the year 2000. Chennai, formerly known as Madras is the capital city of the state of Tamil Nadu.

Vital Statistics: Birth Rate: per 1000 Population: Tamil Nadu: Rural data was reported at 14.000 NA in 2020. This records a decrease from the previous number of 14.300 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Tamil Nadu: Rural data is updated yearly, averaging 16.000 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 20.000 NA in 2000 and a record low of 14.000 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Tamil Nadu: 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.GAH002: Vital Statistics: Birth Rate: by States.

Vital Statistics: Natural Growth Rate: per 1000 Population: Tamil Nadu: Rural data was reported at 6.800 NA in 2020. This records a decrease from the previous number of 7.000 NA for 2019. Vital Statistics: Natural Growth Rate: per 1000 Population: Tamil Nadu: Rural data is updated yearly, averaging 8.000 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 11.300 NA in 2000 and a record low of 6.800 NA in 2020. Vital Statistics: Natural Growth Rate: per 1000 Population: Tamil Nadu: 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.GAH004: Vital Statistics: Natural Growth Rate: by States.

Himachal Pradesh had over 37 percent of intra-state migrant population, the highest among all states in India between 2020 and 2021. Telangana and Tamil Nadu followed it with 33 and over 31 percent respectively.

The estimated per capita income across the southern state of Tamil Nadu in India stood at around 315 thousand Indian rupees in the financial year 2024. There was a consistent increase in the income per capita in the state since the financial year 2012. Sikkim recorded the highest per capita income in the country.

In 2021, Kerala reflected the highest share of its population belonging to the elderly age group with 16.5 percent as opposed to only 10.5 percent in 2001. This was an increase in six percent in two decades.

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:Village Population Projections for India 2011-2036Sub-district Population Projections for India 2011-2036District 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.

Between 2018 and 2020, about 1.2 percent of the population were screened for cervical cancer. Furthermore, the screening was highest in the southern state of Tamil Nadu among the country's states and union territories.

Worker Population Ratio: Usual Status: Education: Not Literate: Tamil Nadu: Male data was reported at 60.800 % in 2024. This records a decrease from the previous number of 61.000 % for 2023. Worker Population Ratio: Usual Status: Education: Not Literate: Tamil Nadu: Male data is updated yearly, averaging 67.300 % from Jun 2018 (Median) to 2024, with 7 observations. The data reached an all-time high of 71.700 % in 2020 and a record low of 60.800 % in 2024. Worker Population Ratio: Usual Status: Education: Not Literate: Tamil Nadu: Male 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.GBA027: Periodic Labour Force Survey: Annual: Worker Population Ratio: Usual Status: by State: Education Level: Not Literate.

This dataset is based on the following manuscript/publication:
Page, N., S. Kasinathan, K. Bhat, G. Moorthi, T. Sundarraj, Divya Mudappa, and T. R. S. Raman (2022). A new population record of Critically Endangered Dipterocarpus bourdillonii Brandis from the Anamalai Tiger Reserve, Tamil Nadu. Journal of Threatened Taxa 14(8): 21651–21659. https://doi.org/10.11609/jott.7860.14.8.21651-21659

Please refer to the README.txt file included with the dataset for complete details and usage notes.

Geographic Coverage:
Location/Study Area: Valparai Plateau, Tamil Nadu, India; Anamalai Tiger Reserve, Tamil Nadu, India
GPS coordinates: Valparai Plateau (0°15'- 10°22'N, 76°52'-76°59'E); Anamalai Tiger Reserve (10°12'-10°35'N, 76°49'-77°24'E)

Temporal Coverage:
Begins: 2020-10-01 (Year, Month, Day)
Ends: 2022-05-31 (Year, Month, Day)

Funding:
Fondation Franklinia
AMM Murugappa Chettiar Research Centre
Rohini Nilekani Philanthropies

Dataset:

The dataset includes 7 files: 1 text file (README.txt), 5 data files in comma-delimited format (CSV), and 1 KML file of seven survey routes. Details of content of each CSV data file are provided below. The following files are included:
README.txt: Usage notes and metadata related to the dataset
1_Surveys_ver2.csv: Details of trails covered where Dipterocarpus bourdillonii was recorded during the survey
2_Focal_tree_data_ver2.csv: Details of focal trees of Dipterocarpus bourdillonii
3_Tree_centred_PCQ_ver2.csv: Data from point-centred quarter (PCQ) plots sampled with focal trees at the centre
4_Plant_checklist_ver2.csv: Checklist of plants (mainly trees) recorded on survey trails
5_Seed_fruit_ver2.csv: Measurements of fruits and seeds of Dipterocarpus bourdillonii
06_Dipterocarpus_bourdillonii_survey_trails.kml: This file includes the GPS tracks of the seven survey trails in KML format.

Details and data available in the columns in each of the above CSV files and the KML file are explained below.

1_Surveys_ver2.csv
Column: Description
Date: Date on which the survey was done
Place: Name of the place where the focal tree is located. e.g., Candura, Manamboli, Iyerpadi etc
Route_description:Description of place or route covered
Trail: Name of the tree survey trail
Trail_distance: Distance covered on the trail in kilometres (km)
Track_filename_kml: Name of the file with GPS track of survey trail/route, where available, in KML format
Observers: Names of observers who took measurements and filled datasheet during survey
Remarks: Notes and additional information

2_Focal_tree_data_ver2.csv
Column: Description
FT_ID: Unique numeric linking ID of each focal tree (NA for 3 individuals found in plots around other focal trees)
Species: Focal tree species
Date: Date on which the survey was done
Place: Name of forest range (Manamboli)
Waypoint: Unique location waypoint number for the focal tree and GPS instrument used
Time: Time when the focal tree's data was collected
Location: Landmark where the focal tree is located (NA, if not available)
Latitude: Latitude of the focal tree (decimal degrees N)
Longitude: Longitude of the focal tree (decimal degrees E)
Elevation: Elevation of the focal tree from sea-level in metres
Slope: Slope at focal tree location assessed with Clinometer, categorised as Flat, Gentle, Moderate, or Steep (NA, if not available)
ID_Notes: Any obvious signs with which to identify focal tree (NA, if not available)
Phenophase: Phenophase of the focal tree viz. leaf flush, buds/flowers, fruits (NA, if not available)
GBH: Girth of the focal tree in cm, at 1.3m from ground; measured from the higher side if tree is on slope
Tree_ht: Focal tree's height in m (NA, if not available)
Canopy_ht: Height of canopy in m where the focal tree is located (NA, if not available)
Substrate: Substrate where focal tree is standing viz. Earth, Rock, Streamside, Other (NA, if not available)
Invasives: List of invasive plant species present within 5 m radius around the focal tree (NA, if not available)
Stature: Stature of the focal tree relative to its surroundings (NOT of the species in general) categorised as Understorey, Mid, Canopy, Emergent (NA, if not available)
Relatively: Relative height of focal tree in relation to other trees within 10 m radius categorised as Shorter than most, Taller than most, Same height as most (NA, if not available)
Deadwood: Estimated percentage of deadwood present on the tree in 4 classes of <25%, 26-50%, 51-75%, 76-100% (NA, if not available)
Damage: Observed damages such as Main trunk broken, Branches broken, Hollow at base, Gaping cavity, Infected, Dried leaves (as on a dead branch) (NA, if not available)
Shape: Canopy shape of the focal tree (not species in general) categorised as Spreading, Oval, Fan, Column, Cone (NA, if not available)
Closure: Canopy closure due to foliage visually estimated standing next to trunk of focal tree and looking up, categorised as 0% (only sky and leafless branches visible), 1-25%, 26-50%, 51-75%, 76-100% (NA, if not available)
Seedlings: Count of conspecific seedlings (stems of girth at breast height <10 cm) around the focal tree in a 5 m radius (NA, if not available)
Saplings: Count of conspecific saplings (stems of girth at breast height 10-30 cm) around the focal tree in a 5 m radius (NA, if not available)
Trees: Count of conspecific trees (stems of girth at breast height >30 cm) around the focal tree in a 5 m radius (NA, if not available)
Remarks: Notes and additional information (NA, if not available)

3_Tree_centred_PCQ_ver2.csv
Column: Description
FT_ID: Unique numeric linking ID of each focal tree in point-centred quarter (PCQ) plot
Focal_tree: Scientific name of focal tree species at the centre of the PCQ plot
Species: Scientific name of tree species recorded in PCQ plot around focal tree
GBH (cm): Girth of PCQ tree in cm, at 1.3 m from ground; measured from the higher side if tree is on a slope. Main stem only.
Distance: Distance from focal tree, in m; measured from the approximate centre of bole to centre of bole and not bark to bark
Multistem: NA if single-stemmed; if multi-stemmed, then GBH of additional stems given as notes.

4_Plant_checklist_ver2.csv
Column: Description
Date: Date on which the survey was done
Place: Name of the place where the focal tree is located. e.g., Candura, Manamboli, Iyerpadi etc
Route: Route of the tree survey trail
Checklist_species: Scientific name of tree species observed as present along trail and within 10 m on either side
Remarks: Notes and additional information

5_Seed_Fruit_ver2.csv
Column: Description
Sample: Serial number of sample of single winged fruit measured
Species: Scientific name of tree species
No_Seeds: Unit number of seed measured
Fresh_fruit_weight_g: Weight of each fruit measured on an Ohaus scale in grams
Nut_length_cm: Length of nut along the longitudinal axis in cm
Nut_width_1_cm: Width of nut in cm measured along axis perpendicular to nut length
Nut_width_2_cm: Width of nut in cm measured along axis perpendicular to nut length and nut width 1
Wing1_length_cm: Length of longer wing (sepal) in cm
Wing1_width_cm: Width of longer wing (sepal) in cm
Wing2_length_cm: Length of shorter wing (sepal) in cm
Wing2_width_cm: Width of shorter wing (sepal) in cm

06_Dipterocarpus_bourdillonii_survey_trails.kml
This file includes the GPS tracks of the following seven trails in KML format:
2021-01-30_Anali-Ayyankulam-Manamboli (Trail-2)
2021-03-26_Ayyankulam (Trail-4)
2021-04-10_Ayyankulam Parai (Trail-5)
2022-03-07_Ayyankulam Parai to Ayyankulam_leftbank (Trail-8)
2022-03-07_Ayyankulam Parai to Ayyankulam_rightbank (Trail-9)
2022-03-09_Manamboli PH_leftbank (Trail-10)
2022-03-09_Manamboli PH_rightbank (Trail-11)

Worker Population Ratio: Usual Status: Education: Tamil Nadu: Urban: Female data was reported at 28.400 % in 2024. This records an increase from the previous number of 26.800 % for 2023. Worker Population Ratio: Usual Status: Education: Tamil Nadu: Urban: Female data is updated yearly, averaging 27.700 % from Jun 2018 (Median) to 2024, with 7 observations. The data reached an all-time high of 29.800 % in 2020 and a record low of 25.200 % in 2018. Worker Population Ratio: Usual Status: Education: Tamil Nadu: Urban: 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.GBA026: Periodic Labour Force Survey: Annual: Worker Population Ratio: Usual Status: by State: Education Level.

Between 2018 and 2020, about 0.6 percent of the population were screened for breast cancer. Furthermore, Tamil Nadu recorded the highest screening rate among the states and union territories as of that time period.

Life expectancy in India was 25.4 in the year 1800, and over the course of the next 220 years, it has increased to almost 70. Between 1800 and 1920, life expectancy in India remained in the mid to low twenties, with the largest declines coming in the 1870s and 1910s; this was because of the Great Famine of 1876-1878, and the Spanish Flu Pandemic of 1918-1919, both of which were responsible for the deaths of up to six and seventeen million Indians respectively; as well as the presence of other endemic diseases in the region, such as smallpox. From 1920 onwards, India's life expectancy has consistently increased, but it is still below the global average.

Worker Population Ratio: Usual Status: Education: Secondary: Tamil Nadu: Male data was reported at 60.300 % in 2024. This records an increase from the previous number of 56.400 % for 2023. Worker Population Ratio: Usual Status: Education: Secondary: Tamil Nadu: Male data is updated yearly, averaging 61.000 % from Jun 2018 (Median) to 2024, with 7 observations. The data reached an all-time high of 64.700 % in 2020 and a record low of 56.400 % in 2023. Worker Population Ratio: Usual Status: Education: Secondary: Tamil Nadu: Male 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.GBA030: Periodic Labour Force Survey: Annual: Worker Population Ratio: Usual Status: by State: Education Level: Secondary.

Worker Population Ratio: Usual Status: Education: Post Graduate and Above: Tamil Nadu: Urban: Male data was reported at 85.800 % in 2024. This records an increase from the previous number of 82.000 % for 2023. Worker Population Ratio: Usual Status: Education: Post Graduate and Above: Tamil Nadu: Urban: Male data is updated yearly, averaging 81.700 % from Jun 2018 (Median) to 2024, with 7 observations. The data reached an all-time high of 85.800 % in 2024 and a record low of 80.000 % in 2020. Worker Population Ratio: Usual Status: Education: Post Graduate and Above: Tamil Nadu: Urban: Male 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.GBA035: Periodic Labour Force Survey: Annual: Worker Population Ratio: Usual Status: by State: Education Level: Post Graduate and Above.

As of January 2024, India had a total of 362 million Instagram users, the largest Instagram audience in the world. The United States had 169 million users, and Brazil had 134 million. Indonesia, Turkey, and Japan ranked in fourth, fifth and sixth position, respectively. Brunei is the leading country for Instagram audience reach, with 92 percent of the population using the social media service. Guam came in second, with a penetration rate of 79.2 percent and the Cayman Islands ranked third, with 78.8 percent, followed closely by Kazakhstan, Iceland and Montenegro. It took Instagram 11.2 years to reach the milestone of 2 billion monthly active users worldwide. WhatsApp, also owned by Meta, took 11 years, whilst Facebook took 13.3 years and YouTube took just over 14 years. Instagram’s demographics in the United States As of May 2021, Instagram was the fourth most visited social media service in the United States, after Facebook, Pinterest and Twitter. Out of TikTok, Instagram and Snapchat, TikTok was the most used of all three platforms by Generation Z. Overall, 57 percent of Gen Z social media users used Instagram, down from 61 percent in 2020 and 64 percent in 2019. Instagram finds most popularity with those in the 25 to 34 year age group, and as of December 2021, roughly a third of all users in the United States belonged to this age group. The social media app was also more likely to be used by women. Most followed accounts on Instagram Instagram’s official account had the most followers as of February 2022 with over 470 million followers. Manchester United forward Cristiano Ronaldo (@cristiano) had over 401 million followers on the platform and media personality and makeup mogul Kylie Jenner (@kyliejenner) had over 309 million followers. National Geographic (@natgeo) had over 206.9 million followers, sharing educational content through its renowned photojournalism.

There were over 2.6 million registered motor cycles across the north Indian state of Uttar Pradesh at the end of fiscal year 2020, making it the leading state in this category. The overall number of registered motorcycles in India stood at about 11.7 million during the same time.