The north-western state of Rajasthan was the largest in terms of land area in India in 2021 with over 342 thousand square kilometers. Central Madhya Pradesh and south-western Maharashtra followed, while the union territory of Lakshadweep recorded an area of 30 square kilometers. Overall, India's geographical area amounted to about 3.3 million square kilometers.

The statistic displays the Indian states with the largest area of national parks in 2016. During the measured time period, the largest area of national parks belonged to the state of Uttarakhand with close to ***** square kilometers, followed by Rajasthan with approximately ***** square kilometers.

The statistic displays the Indian states with the largest area of wildlife sanctuaries in 2016. During the measured time period, the largest area of wildlife sanctuaries was present in the state of Gujarat which amounted to approximately ****** square kilometers, followed by Andhra Pradesh with an area of about ****** square kilometers of sanctuaries for wildlife.

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission from ARC's Regional Plan Update to show employment forecasts by census tract for the Atlanta region.Attributes:GEOID10 = The entire Federal Information Processing Series (FIPS) code for this geography. FIPS codes were formerly known as Federal Information Processing Standards codes, until the National Institute of Standards and Technology (NIST) announced its decision in 2005 to remove geographic entity codes from its oversight. The Census Bureau continues to maintain and issue codes for geographic entities covered under FIPS oversight, albeit with a revised meaning for the FIPS acronym. Geographic entities covered under FIPS include states, counties, congressional districts, core based statistical areas, places, county subdivisions, subminor civil divisions, consolidated cities, and all types of American Indian, Alaska Native, and Native Hawaiian areas. FIPS codes are assigned alphabetically according to the name of the geographic entity and may change to maintain alphabetic sort when new entities are created or names change. FIPS codes for specific geographic entity types are usually unique within the next highest level of geographic entity with which a nesting relationship exists. For example, FIPS state, congressional district, and core based statistical area codes are unique within nation; FIPS county, place, county subdivision, and subminor civil division codes are unique within state. The codes for American Indian, Alaska Native, and Native Hawaiian areas also are unique within state; those areas in multiple states will have different codes for each state.NAME10 = Census tract numberPLNG_REGIO = Planning regionPercent_BA_or_Higher = Percentage of population that has a bachelor's degree or higherMedian_household_income = Median household incomeSquare_Miles = Total area in square milesTotal Jobs, 2015 = Total number of jobs forecasted for 2015Total Jobs, 2020 = Total number of jobs forecasted for 2020Total Jobs, 2030 = Total number of jobs forecasted for 2030Total Jobs, 2035 = Total number of jobs forecasted for 2035Total Jobs, 2040 = Total number of jobs forecasted for 2040Change in Jobs, 2015-2040 = Forecasted change in the total number of jobs between 2015 and 2040Change in Jobs per Square Mile, 2015-2040 = Forecasted change in the number of jobs per square mile from 2015 to 2040Population Change per square mile 2000-2010 = The actual population change per square mile from 2000 to 2010Change in Jobs per Square Mile 2015-2040 = Forecasted change in the number of jobs per square mile from 2015 to 2040Shape.STArea() = Total area in square feetSource: Atlanta Regional CommissionDate: 2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com

The urban region of the Indian state of Goa had about **** square kilometers per police station as of January 2022. By contrast, rural regions of Himachal Pradesh, Assam and Sikkim had a police station less than six square kilometers.

CENSUS_TRACTS_TIGER2011_IN.SHP is a polygon shapefile that contains 2011 census block boundaries for the state of Indiana. Census blocks are not legal boundaries, but are considered stable geographic units used for the presentation of decennial census data. The following is excerpted from an Adobe Acrobat PDF document named "TGRSHP2011_TECHDOC.PDF (U.S. Census Bureau): "Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and by non-visible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Generally, census blocks are small in area; for example, a block in a city. Census blocks in suburban and rural areas may be large, irregular, and bounded by a variety of features, such as roads, streams, and/or transmission line rights-of-way. In remote areas census blocks may encompass hundreds of square miles. Census blocks cover all territory in the United States, Puerto Rico, and the Island areas. A block may consist of one or more faces. "Blocks never cross county or census tract boundaries (See Figures 3 and 4). They do not cross the boundaries of any entity for which the Census Bureau tabulates data, including American Indian, Alaska Native, and Native Hawaiian areas, congressional districts, county subdivisions, places, state legislative districts, urbanized areas, urban clusters, school districts, voting districts, or ZIP Code Tabulation Areas (ZCTAs) or some special administrative areas such as military installations, and national parks and monuments. "Census 2010 blocks are numbered uniquely within the 2010 boundaries of each state/county/census tract with a 4-digit census block number. The first digit of the tabulation block number identifies the block group."

The Indian state of Gujarat had the highest continental shelf area, amounting to about ******* square kilometers, followed by the state of Maharashtra as of 2020. The union territory of Puducherry had the smallest continental shelf of ************ square kilometers.

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using U.S. Census Bureau TIGER/Line files. The polygon features in Census_2010_Blocks_GA are subsets of Census_Blockgroups and Census_Tracts.Attributes:STATEFP10 = The Federal Information Processing Series (FIPS) state code. FIPS codes were formerly known as Federal Information Processing Standards codes, until the National Institute of Standards and Technology (NIST) announced its decision in 2005 to remove geographic entity codes from its oversight. The Census Bureau continues to maintain and issue codes for geographic entities covered under FIPS oversight, albeit with a revised meaning for the FIPS acronym. Geographic entities covered under FIPS include states, counties, congressional districts, core based statistical areas, places, county subdivisions, subminor civil divisions, consolidated cities, and all types of American Indian, Alaska Native, and Native Hawaiian areas. FIPS codes are assigned alphabetically according to the name of the geographic entity and may change to maintain alphabetic sort when new entities are created or names change. FIPS codes for specific geographic entity types are usually unique within the next highest level of geographic entity with which a nesting relationship exists. For example, FIPS state, congressional district, and core based statistical area codes are unique within nation; FIPS county, place, county subdivision, and subminor civil division codes are unique within state. The codes for American Indian, Alaska Native, and Native Hawaiian areas also are unique within state; those areas in multiple states will have different codes for each state.COUNTYFP10 = The Federal Information Processing Series (FIPS) county code. TRACTCE10 = Census Tract Codes and Numbers—Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.BLOCKCE10 = Census block number - Census blocks are numbered uniquely with a four-digit census block number from 0000 to 9999 within census tract, which nest within state and county. The first digit of the census block number identifies the block group. Block numbers beginning with a zero (in Block Group 0) are only associated with water-only areas.GEOID10 = A concatenation of STATEFP10, COUNTYFP10, TRACTCE10, and BLOCKCE10, which produces the entire FIPS code for this geography.NAME10 = Block nameMTFCC10 = MAF/TIGER feature class codeUR10 = Census urban/rural indicatorUACE10 = Census urbanized area codesFUNCSTAT10 = Functional statusALAND10 = Land area in square metersAWATER10 = Water area in square metersINTPTLAT10 = Latitude of the centroid (center of this geography)INTPLON10 = Longitude of the centroid (center of this geography)STFID = The entire FIPS code of this geographyCOUNTY_NM = County namePLNG_REGIO = Planning regionSUMLEV = Summary level of census geography (code)NAME = Block namePLACE = Census place codeSTATE = The state FIPS codeCOUNTY = The county FIPS codeTRACT = The tract FIPS codeBLOCK = The block FIPS codetotpop10 = Total populationoner_10 = One race populationwhite_or10 = White, one race populationbl_or10 = Black, one race populationaian_or10 = American Indian and Alaska Native, one race populationasia_or10 = Asian, one race populationnhpi_or10 = Native Hawaiian and Other Pacific Islander, one race populationsomoth_or1 = Some other, one race populationtwoplusr10 = Two-plus races populationtotpop101 = Total populationhisp_lat10 = Total Hispanic/Latino populationnonhisp10 = Total non-Hispanic/Latino populationnh_or10 = Non-Hispanic/Latino, one race populationnhw_or10 = Non-Hispanic/Latino White, one race populationnhbl_or10 = Non-Hispanic/Latino Black, one race populationnhai_or10 = Non-Hispanic/Latino American Indian and Alaskan Native, one race populationnhas_or10 = Non-Hispanic/Latino Asian, one race populationnhhp_or10 = Non-Hispanic/Latino Native Hawaiian and Other Pacific Islander, one race populationnhot_or10 = Non-Hispanic/Latino Other, one race populationnh_twor10 = Non-Hispanic/Latino, two or more races populationtothu10 = Total housing unitstotoccu_10 = Total occupied housing unitstotvach_10 = Total vacant housing unitsAcresLand = Land area in acresAcresWater = Water area in acresAcresTotal = Total area in acresSqMiLand = Land area in square milesDensPPSqMi = Density: Population per square mile of landShape.STArea() = Total area in square feetSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com

Population and Housing data for the State of Montana was compiled from the PL 94-171 Redistricting Summary files released by the U.S. Census Bureau for the 2020 Decennial Census. This data set was created by the Montana Department of Commerce for use by the citizens of Montana and the general public.

TIGER shapefiles were joined to the tabular summary file data to create this data set. A subset of variables from the release were selected for this dataset. A description of each variable and calculations are provided here.

VINTAGE - Decennial Census vintage year - Calculation

SUMLEV - Geography summary level - Calculation

GEOID - Geography ID - Calculation

NAME - Geography Name - Calculation

AREALAND - Area of land in square meters - Calculation

AREAWATR - Area of water in square meters - Calculation

INTPTLAT - Geography point latitude - Calculation

INTPTLON - Geography point longitude - Calculation

POPTOT - Population Total - Calculation P0010001

POPPCAP - Population per square mile - Calculation P0010001 / (AREALAND / 2589988.110336)

POPWH - Population White alone - Calculation P0010003

POPBL - Population Black alone - Calculation P0010004

POPAI - Population American Indian or Alaska Native alone - Calculation P0010005

POPAS - Population Asian alone - Calculation P0010006

POPNH - Population Native Hawaiian or Pacific Islander alone - Calculation P0010007

POPOT - Population Some other Race alone - Calculation P0010008

POP2MO - Population 2 or more races - Calculation P0010009

POPWHPCT - Population White alone percent - Calculation P0010003 / P0010001 * 100

POPBLPCT - Population Black alone percent - Calculation P0010004 / P0010001 * 100

POPAIPCT - Population American Indian or Alaska Native alone percent - Calculation P0010005 / P0010001 * 100

POPASPCT - Population Asian alone percent - Calculation P0010006 / P0010001 * 100

POPNHPCT - Population Native Hawaiian or Pacific Islander alone percent - Calculation P0010007 / P0010001 * 100

POPOTPCT - Population Some other Race alone percent - Calculation P0010008 / P0010001 * 100

POP2MOPCT - Population 2 or more races percent - Calculation P0010009 / P0010001 * 100

POPWHC - Population White alone or in combination - Calculation P0010003+ P00100011+ P00100012+ P00100013+ P00100014+ P00100015+ P0010027+ P0010028+ P0010029+ P00100030+ P00100031+ P00100032+ P00100033+ P00100034+ P00100035+ P00100036+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100054+ P00100055+ P00100056+ P00100057+ P00100064+ P00100065+ P00100066+ P00100067+ P00100068+ P00100071

POPBLC - Population Black alone or in combination - Calculation P0010004+ P00100011+ P00100016+ P00100017+ P00100018+ P00100019+ P0010027+ P0010028+ P0010029+ P00100030+ P00100037+ P00100038+ P00100039+ P00100040+ P00100041+ P00100042+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100058+ P00100059+ P00100060+ P00100061+ P00100064+ P00100065+ P00100066+ P00100067+ P00100069+ P00100071

POPAIC - Population American Indian or Alaska Native alone or in combination - Calculation P0010005+ P00100012+ P00100016+ P0010020+ P0010021+ P0010022+ P0010027+ P00100031+ P00100032+ P00100033+ P00100037+ P00100038+ P00100039+ P00100043+ P00100044+ P00100045+ P00100048+ P00100049+ P00100050+ P00100054+ P00100055+ P00100056+ P00100058+ P00100059+ P00100060+ P00100062+ P00100064+ P00100065+ P00100066+ P00100068+ P00100069+ P00100071

POPASC - Population Asian alone or in combination - Calculation P0010006+ P00100013+ P00100017+ P0010020+ P0010023+ P0010024+ P0010028+ P00100031+ P00100034+ P00100035+ P00100037+ P00100040+ P00100041+ P00100043+ P00100044+ P00100046+ P00100048+ P00100051+ P00100052+ P00100054+ P00100055+ P00100057+ P00100058+ P00100059+ P00100061+ P00100062+ P00100064+ P00100065+ P00100067+ P00100068+ P00100069+ P00100071

POPNHC - Population Native Hawaiian or Pacific Islander alone or in combination - Calculation P0010007+ P00100014+ P00100018+ P0010021+ P0010023+ P0010025+ P0010029+ P00100032+ P00100034+ P00100036+ P00100038+ P00100040+ P00100042+ P00100043+ P00100045+ P00100046+ P00100049+ P00100051+ P00100053+ P00100054+ P00100056+ P00100057+ P00100058+ P00100060+ P00100061+ P00100062+ P00100064+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071

POPOTC - Population Some Other Race alone or in combination - Calculation P0010008+ P00100015+ P00100019+ P0010022+ P0010024+ P0010025+ P00100030+ P00100033+ P00100035+ P00100036+ P00100039+ P00100041+ P00100042+ P00100044+ P00100045+ P00100046+ P00100050+ P00100052+ P00100053+ P00100055+ P00100056+ P00100057+ P00100059+ P00100060+ P00100061+ P00100062+ P00100065+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071

POPWHCPCT - Population White alone or in combination percent - Calculation (P0010003+ P00100011+ P00100012+ P00100013+ P00100014+ P00100015+ P0010027+ P0010028+ P0010029+ P00100030+ P00100031+ P00100032+ P00100033+ P00100034+ P00100035+ P00100036+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100054+ P00100055+ P00100056+ P00100057+ P00100064+ P00100065+ P00100066+ P00100067+ P00100068+ P00100071)/ P0010001 * 100

POPBLCPCT - Population Black alone or in combination percent - Calculation (P0010004+ P00100011+ P00100016+ P00100017+ P00100018+ P00100019+ P0010027+ P0010028+ P0010029+ P00100030+ P00100037+ P00100038+ P00100039+ P00100040+ P00100041+ P00100042+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100058+ P00100059+ P00100060+ P00100061+ P00100064+ P00100065+ P00100066+ P00100067+ P00100069+ P00100071)/ P0010001 * 100

POPAICPCT - Population American Indian or Alaska Native alone or in combination percent - Calculation (P0010005+ P00100012+ P00100016+ P0010020+ P0010021+ P0010022+ P0010027+ P00100031+ P00100032+ P00100033+ P00100037+ P00100038+ P00100039+ P00100043+ P00100044+ P00100045+ P00100048+ P00100049+ P00100050+ P00100054+ P00100055+ P00100056+ P00100058+ P00100059+ P00100060+ P00100062+ P00100064+ P00100065+ P00100066+ P00100068+ P00100069+ P00100071)/ P0010001 * 100

POPASCPCT - Population Asian alone or in combination percent - Calculation (P0010006+ P00100013+ P00100017+ P0010020+ P0010023+ P0010024+ P0010028+ P00100031+ P00100034+ P00100035+ P00100037+ P00100040+ P00100041+ P00100043+ P00100044+ P00100046+ P00100048+ P00100051+ P00100052+ P00100054+ P00100055+ P00100057+ P00100058+ P00100059+ P00100061+ P00100062+ P00100064+ P00100065+ P00100067+ P00100068+ P00100069+ P00100071)/ P0010001 * 100

POPNHCPCT - Population Native Hawaiian or Pacific Islander alone or in combination percent - Calculation (P0010007+ P00100014+ P00100018+ P0010021+ P0010023+ P0010025+ P0010029+ P00100032+ P00100034+ P00100036+ P00100038+ P00100040+ P00100042+ P00100043+ P00100045+ P00100046+ P00100049+ P00100051+ P00100053+ P00100054+ P00100056+ P00100057+ P00100058+ P00100060+ P00100061+ P00100062+ P00100064+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071)/ P0010001 * 100

POPOTCPCT - Population Some Other Race alone or in combination percent - Calculation (P0010008+ P00100015+ P00100019+ P0010022+ P0010024+ P0010025+ P00100030+ P00100033+ P00100035+ P00100036+ P00100039+ P00100041+ P00100042+ P00100044+ P00100045+ P00100046+ P00100050+ P00100052+ P00100053+ P00100055+ P00100056+ P00100057+ P00100059+ P00100060+ P00100061+ P00100062+ P00100065+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071)/ P0010001 * 100

POPHSP - Population Hispanic - Calculation P0020002

POPNHSP - Population Non-Hispanic - Calculation P0020003

POPHSPPCT - Population Hispanic percent - Calculation P0020002 / P0010001 * 100

POPNHSPPCT - Population Non-Hispanic percent - Calculation P0020003 / P0010001 * 100

POP18OV - Population 18 years and over - Calculation P0030001

POP18OVPCT - Population 18 years and over percent - Calculation P0030001 / P0010001 * 100

HUTOT - Housing Units Total - Calculation H0010001

HUOCC - Housing Units Occupied - Calculation H0010002

HUVAC - Housing Units Vacant - Calculation H0010003

HUOCCPCT - Housing Units Occupied percent - Calculation H0010002 / H0010001 * 100

HUVACPCT - Housing Units Vacant percent - Calculation H0010003 / H0010001 * 100

POPGQ - Population Group Quarters - Calculation P0050001

POPGQIN - Population Group Quarters - Institutionalized - Calculation P0050002

POPGQNI - Population Group Quarters - Non-Institutionalized - Calculation P0050007

POPGQPCT - Population Group Quarters percent - Calculation P0050001 / P0010001 * 100

POPGQINPCT - Population Group Quarters - Institutionalized percent - Calculation P0050002 / P0010001 * 100

POPGQNIPCT - Population Group Quarters - Non-Institutionalized percent - Calculation P0050007 / P0010001 * 100

POPTOT2010 - Population Total 2010 - Calculation

POPCHG - Population Change from 2010 to 2020 - Calculation

POPCHGPCT - Population Percent Change from 2010 to 2020 - Calculation

Population and Housing data for State Legislature Senate Districts within the State of Montana was compiled from the PL 94-171 Redistricting Summary files released by the U.S. Census Bureau for the 2020 Decennial Census.

This data set was created by the Montana Department of Commerce for use by the citizens of Montana and the general public. TIGER shapefiles were joined to the tabular summary file data to create this data set. A subset of variables from the release were selected for this dataset. A description of each variable and calculations are provided here.

VINTAGE - Decennial Census vintage year - Calculation

SUMLEV - Geography summary level - Calculation

GEOID - Geography ID - Calculation

NAME - Geography Name - Calculation

AREALAND - Area of land in square meters - Calculation

AREAWATR - Area of water in square meters - Calculation

INTPTLAT - Geography point latitude - Calculation

INTPTLON - Geography point longitude - Calculation

POPTOT - Population Total - Calculation P0010001

POPPCAP - Population per square mile - Calculation P0010001 / (AREALAND / 2589988.110336)

POPWH - Population White alone - Calculation P0010003

POPBL - Population Black alone - Calculation P0010004

POPAI - Population American Indian or Alaska Native alone - Calculation P0010005

POPAS - Population Asian alone - Calculation P0010006

POPNH - Population Native Hawaiian or Pacific Islander alone - Calculation P0010007

POPOT - Population Some other Race alone - Calculation P0010008

POP2MO - Population 2 or more races - Calculation P0010009

POPWHPCT - Population White alone percent - Calculation P0010003 / P0010001 * 100

POPBLPCT - Population Black alone percent - Calculation P0010004 / P0010001 * 100

POPAIPCT - Population American Indian or Alaska Native alone percent - Calculation P0010005 / P0010001 * 100

POPASPCT - Population Asian alone percent - Calculation P0010006 / P0010001 * 100

POPNHPCT - Population Native Hawaiian or Pacific Islander alone percent - Calculation P0010007 / P0010001 * 100

POPOTPCT - Population Some other Race alone percent - Calculation P0010008 / P0010001 * 100

POP2MOPCT - Population 2 or more races percent - Calculation P0010009 / P0010001 * 100

POPWHC - Population White alone or in combination - Calculation P0010003+ P00100011+ P00100012+ P00100013+ P00100014+ P00100015+ P0010027+ P0010028+ P0010029+ P00100030+ P00100031+ P00100032+ P00100033+ P00100034+ P00100035+ P00100036+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100054+ P00100055+ P00100056+ P00100057+ P00100064+ P00100065+ P00100066+ P00100067+ P00100068+ P00100071

POPBLC - Population Black alone or in combination - Calculation P0010004+ P00100011+ P00100016+ P00100017+ P00100018+ P00100019+ P0010027+ P0010028+ P0010029+ P00100030+ P00100037+ P00100038+ P00100039+ P00100040+ P00100041+ P00100042+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100058+ P00100059+ P00100060+ P00100061+ P00100064+ P00100065+ P00100066+ P00100067+ P00100069+ P00100071

POPAIC - Population American Indian or Alaska Native alone or in combination - Calculation P0010005+ P00100012+ P00100016+ P0010020+ P0010021+ P0010022+ P0010027+ P00100031+ P00100032+ P00100033+ P00100037+ P00100038+ P00100039+ P00100043+ P00100044+ P00100045+ P00100048+ P00100049+ P00100050+ P00100054+ P00100055+ P00100056+ P00100058+ P00100059+ P00100060+ P00100062+ P00100064+ P00100065+ P00100066+ P00100068+ P00100069+ P00100071

POPASC - Population Asian alone or in combination - Calculation P0010006+ P00100013+ P00100017+ P0010020+ P0010023+ P0010024+ P0010028+ P00100031+ P00100034+ P00100035+ P00100037+ P00100040+ P00100041+ P00100043+ P00100044+ P00100046+ P00100048+ P00100051+ P00100052+ P00100054+ P00100055+ P00100057+ P00100058+ P00100059+ P00100061+ P00100062+ P00100064+ P00100065+ P00100067+ P00100068+ P00100069+ P00100071

POPNHC - Population Native Hawaiian or Pacific Islander alone or in combination - Calculation P0010007+ P00100014+ P00100018+ P0010021+ P0010023+ P0010025+ P0010029+ P00100032+ P00100034+ P00100036+ P00100038+ P00100040+ P00100042+ P00100043+ P00100045+ P00100046+ P00100049+ P00100051+ P00100053+ P00100054+ P00100056+ P00100057+ P00100058+ P00100060+ P00100061+ P00100062+ P00100064+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071

POPOTC - Population Some Other Race alone or in combination - Calculation P0010008+ P00100015+ P00100019+ P0010022+ P0010024+ P0010025+ P00100030+ P00100033+ P00100035+ P00100036+ P00100039+ P00100041+ P00100042+ P00100044+ P00100045+ P00100046+ P00100050+ P00100052+ P00100053+ P00100055+ P00100056+ P00100057+ P00100059+ P00100060+ P00100061+ P00100062+ P00100065+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071

POPWHCPCT - Population White alone or in combination percent - Calculation (P0010003+ P00100011+ P00100012+ P00100013+ P00100014+ P00100015+ P0010027+ P0010028+ P0010029+ P00100030+ P00100031+ P00100032+ P00100033+ P00100034+ P00100035+ P00100036+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100054+ P00100055+ P00100056+ P00100057+ P00100064+ P00100065+ P00100066+ P00100067+ P00100068+ P00100071)/ P0010001 * 100

POPBLCPCT - Population Black alone or in combination percent - Calculation (P0010004+ P00100011+ P00100016+ P00100017+ P00100018+ P00100019+ P0010027+ P0010028+ P0010029+ P00100030+ P00100037+ P00100038+ P00100039+ P00100040+ P00100041+ P00100042+ P00100048+ P00100049+ P00100050+ P00100051+ P00100052+ P00100053+ P00100058+ P00100059+ P00100060+ P00100061+ P00100064+ P00100065+ P00100066+ P00100067+ P00100069+ P00100071)/ P0010001 * 100

POPAICPCT - Population American Indian or Alaska Native alone or in combination percent - Calculation (P0010005+ P00100012+ P00100016+ P0010020+ P0010021+ P0010022+ P0010027+ P00100031+ P00100032+ P00100033+ P00100037+ P00100038+ P00100039+ P00100043+ P00100044+ P00100045+ P00100048+ P00100049+ P00100050+ P00100054+ P00100055+ P00100056+ P00100058+ P00100059+ P00100060+ P00100062+ P00100064+ P00100065+ P00100066+ P00100068+ P00100069+ P00100071)/ P0010001 * 100

POPASCPCT - Population Asian alone or in combination percent - Calculation (P0010006+ P00100013+ P00100017+ P0010020+ P0010023+ P0010024+ P0010028+ P00100031+ P00100034+ P00100035+ P00100037+ P00100040+ P00100041+ P00100043+ P00100044+ P00100046+ P00100048+ P00100051+ P00100052+ P00100054+ P00100055+ P00100057+ P00100058+ P00100059+ P00100061+ P00100062+ P00100064+ P00100065+ P00100067+ P00100068+ P00100069+ P00100071)/ P0010001 * 100

POPNHCPCT - Population Native Hawaiian or Pacific Islander alone or in combination percent - Calculation (P0010007+ P00100014+ P00100018+ P0010021+ P0010023+ P0010025+ P0010029+ P00100032+ P00100034+ P00100036+ P00100038+ P00100040+ P00100042+ P00100043+ P00100045+ P00100046+ P00100049+ P00100051+ P00100053+ P00100054+ P00100056+ P00100057+ P00100058+ P00100060+ P00100061+ P00100062+ P00100064+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071)/ P0010001 * 100

POPOTCPCT - Population Some Other Race alone or in combination percent - Calculation (P0010008+ P00100015+ P00100019+ P0010022+ P0010024+ P0010025+ P00100030+ P00100033+ P00100035+ P00100036+ P00100039+ P00100041+ P00100042+ P00100044+ P00100045+ P00100046+ P00100050+ P00100052+ P00100053+ P00100055+ P00100056+ P00100057+ P00100059+ P00100060+ P00100061+ P00100062+ P00100065+ P00100066+ P00100067+ P00100068+ P00100069+ P00100071)/ P0010001 * 100

POPHSP - Population Hispanic - Calculation P0020002

POPNHSP - Population Non-Hispanic - Calculation P0020003

POPHSPPCT - Population Hispanic percent - Calculation P0020002 / P0010001 * 100

POPNHSPPCT - Population Non-Hispanic percent - Calculation P0020003 / P0010001 * 100

POP18OV - Population 18 years and over - Calculation P0030001

POP18OVPCT - Population 18 years and over percent - Calculation P0030001 / P0010001 * 100

HUTOT - Housing Units Total - Calculation H0010001

HUOCC - Housing Units Occupied - Calculation H0010002

HUVAC - Housing Units Vacant - Calculation H0010003

HUOCCPCT - Housing Units Occupied percent - Calculation H0010002 / H0010001 * 100

HUVACPCT - Housing Units Vacant percent - Calculation H0010003 / H0010001 * 100

POPGQ - Population Group Quarters - Calculation P0050001

POPGQIN - Population Group Quarters - Institutionalized - Calculation P0050002

POPGQNI - Population Group Quarters - Non-Institutionalized - Calculation P0050007

POPGQPCT - Population Group Quarters percent - Calculation P0050001 / P0010001 * 100

POPGQINPCT - Population Group Quarters - Institutionalized percent - Calculation P0050002 / P0010001 * 100

POPGQNIPCT - Population Group Quarters - Non-Institutionalized percent - Calculation P0050007 / P0010001 * 100

POPTOT2010 - Population Total 2010 - Calculation

POPCHG - Population Change from 2010 to 2020 - Calculation

POPCHGPCT - Population Percent Change from 2010 to 2020 - Calculation

The statistic displays the Indian states with the largest protected forest area in 2013. During the measured time period, the protected forest area in the state of Himachal Pradesh was the largest and amounted to approximately ****** square kilometers, while Madhya Pradesh was second with about ****** square kilometers.

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission from the United States Census Bureau's 2000 Decennial Census to show the count and percentage of children under the age of 5 by census tract within the Atlanta Region.Attributes:GEOID10 = The entire Federal Information Processing Series (FIPS) census tract code. FIPS codes were formerly known as Federal Information Processing Standards codes, until the National Institute of Standards and Technology (NIST) announced its decision in 2005 to remove geographic entity codes from its oversight. The Census Bureau continues to maintain and issue codes for geographic entities covered under FIPS oversight, albeit with a revised meaning for the FIPS acronym. Geographic entities covered under FIPS include states, counties, congressional districts, core based statistical areas, places, county subdivisions, subminor civil divisions, consolidated cities, and all types of American Indian, Alaska Native, and Native Hawaiian areas. FIPS codes are assigned alphabetically according to the name of the geographic entity and may change to maintain alphabetic sort when new entities are created or names change. FIPS codes for specific geographic entity types are usually unique within the next highest level of geographic entity with which a nesting relationship exists. For example, FIPS state, congressional district, and core based statistical area codes are unique within nation; FIPS county, place, county subdivision, and subminor civil division codes are unique within state. The codes for American Indian, Alaska Native, and Native Hawaiian areas also are unique within state; those areas in multiple states will have different codes for each state.NAME10 = Census tract numberPLNG_REGIO = Planning regionPercent_BA_or_Higher = Percentage of people who have a bachelor's degree or higherMedian_household_income = Median household incomeUnder_5_population_2010 = The population under 5 years of age in 2010Population Change per square mile 2000-2010 = Population Change per square mile 2000-2010 Percent Population under 5 in 2010 = The percentage of the population under 5 years of age in 2010Shape.STArea() = Total area in square feetSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com

The open forest area in the union territory of Chandigarh in India had the smallest open forest area of over ***** square kilometers as of 2021. Whereas, Madhya Pradesh had the largest open forest area of over ** thousand square kilometers in the country.

The statistic displays the Indian states with the smallest reserved forest area in 2015. During the measured time period, the reserved forest area in the union territory of Chandigarh was the smallest and amounted to approximately ** square kilometers, followed by the state of Punjab with ** square kilometers.

The south Indian state of Andhra Pradesh had the largest scrub area of over ************** square kilometers as of 2021. Madhya Pradesh followed with the second largest scrub area with over ************* square kilometers that year.

Among its states, Haryana had the smallest percentage of forest cover in relation to its total geographical area in India. Punjab, another state in the northern region of India, was not far behind, with a forest cover of **** percent.

Forest cover in India

India, known for its diverse ecosystems, has over *** thousand square kilometers of forest cover, an integral component to its ecological balance. The classification of forest cover in India is determined by the density of the tree canopy, with moderately dense and open forests constituting the majority.

Biodiversity conservation

Hosting a rich diversity of life in its forests, wetlands, and marine regions, India has made considerable progress in conservation initiatives. The country has set up a range of protected zones, such as wildlife sanctuaries, national parks, and botanical gardens. These zones, crucial for preserving India’s biodiversity, implement both in-situ and ex-situ conservation strategies by providing habitat for a multitude of species.

As of financial year 2019, union territory Chandigarh had the highest road density in India with more than 22.6 thousand kilometers per one thousand square kilometers. Among the states, Kerala ranked first with 6.7 thousand km per one thousand square kilometers.

As of 2011, the total estimated area under Delhi-National Capital Region was approximately ** thousand square kilometers. The state of Haryana had the largest area within NCR whereas Delhi occupied the smallest area. NCR is an urban agglomeration centered around the national capital territory of Delhi and includes certain districts of neighboring states of Haryana, Rajasthan, and Uttar Pradesh.