China Demographic Maps

LeadDog provides China demographic maps for your GIS map software and analysis. Through a partner, LeadDog licenses the most current and accurate demographic variables available.

China demographic variables are available to the administrative boundary level and city level. Township (~50,500 polygons) demographic variables include:

Chinese name of Township
English name of Township
GBCODE of County
Chinese name of County
English name of County
GBCODE of City
Chinese name of City
English name of City
GBCODE of Province
Chinese name of Province
English name of Province
Total Resident Population
Total Males
Total Females
Total Number of Family Households
Total Population of Family Households
Total Males of Family Households
Total Females of Family Households
Total Population at Age 0-14
Total Population at Age 15-64
Total Population at Age 65 and over
Total Population of Registered Permanent Resident
2010 Calculated Household Size
Sex Ratio(Female=100)
2010 Females Age 0-4
2010 Females Age 5-9
2010 Females Age 10-14
2010 Females Age 15-19
2010 Females Age 20-24
2010 Females Age 25-29
2010 Females Age 30-34
2010 Females Age 35-39
2010 Females Age 40-44
2010 Females Age 45-49
2010 Females Age 50-54
2010 Females Age 55-59
2010 Females Age 60-64
2010 Females Age 65-69
2010 Females Age 70-74
2010 Females Age 75-79
2010 Females Age 80-84
2010 Females Age 85-89
2010 Females Age 90-94
2010 Females Age 95+
2010 Males Age 0-4
2010 Males Age 5-9
2010 Males Age 10-14
2010 Males Age 15-19
2010 Males Age 20-24
2010 Males Age 25-29
2010 Males Age 30-34
2010 Males Age 35-39
2010 Males Age 40-44
2010 Males Age 45-49
2010 Males Age 50-54
2010 Males Age 55-59
2010 Males Age 60-64
2010 Males Age 65-69
2010 Males Age 70-74
2010 Males Age 75-79
2010 Males Age 80-84
2010 Males Age 85-89
2010 Males Age 90-94
2010 Males Age 95+
2010 Total Pop Age 0-4
2010 Total Pop Age 5-9
2010 Total Pop Age 10-14
2010 Total Pop Age 15-19
2010 Total Pop Age 20-24
2010 Total Pop Age 25-29
2010 Total Pop Age 30-34
2010 Total Pop Age 35-39
2010 Total Pop Age 40-44
2010 Total Pop Age 45-49
2010 Total Pop Age 50-54
2010 Total Pop Age 55-59
2010 Total Pop Age 60-64
2010 Total Pop Age 65-69
2010 Total Pop Age 70-74
2010 Total Pop Age 75-79
2010 Total Pop Age 80-84
2010 Total Pop Age 85-89
2010 Total Pop Age 90-94
2010 Total Pop Age 95+
2010 Median Age Total Pop
2010 Median Age Males
2010 Median Age Females
% 2010 Males Age 0-4
% 2010 Males Age 5-9
% 2010 Males Age 10-14
% 2010 Males Age 15-19
% 2010 Males Age 20-24
% 2010 Males Age 25-29
% 2010 Males Age 30-34
% 2010 Males Age 35-39
% 2010 Males Age 40-44
% 2010 Males Age 45-49
% 2010 Males Age 50-54
% 2010 Males Age 55-59
% 2010 Males Age 60-64
% 2010 Males Age 65-69
% 2010 Males Age 70-74
% 2010 Males Age 75-79
% 2010 Males Age 80-84
% 2010 Males Age 85-89
% 2010 Males Age 90-94
% 2010 Males Age 95+
% 2010 Females Age 0-4
% 2010 Females Age 5-9
% 2010 Females Age 10-14
% 2010 Females Age 15-19
% 2010 Females Age 20-24
% 2010 Females Age 25-29
% 2010 Females Age 30-34
% 2010 Females Age 35-39
% 2010 Females Age 40-44
% 2010 Females Age 45-49
% 2010 Females Age 50-54
% 2010 Females Age 55-59
% 2010 Females Age 60-64
% 2010 Females Age 65-69
% 2010 Females Age 70-74
% 2010 Females Age 75-79
% 2010 Females Age 80-84
% 2010 Females Age 85-89
% 2010 Females Age 90-94
% 2010 Females Age 95+
% 2010 Total Age 0-4
% 2010 Total Age 5-9
% 2010 Total Age 10-14
% 2010 Total Age 15-19
% 2010 Total Age 20-24
% 2010 Total Age 25-29
% 2010 Total Age 30-34
% 2010 Total Age 35-39
% 2010 Total Age 40-44
% 2010 Total Age 45-49
% 2010 Total Age 50-54
% 2010 Total Age 55-59
% 2010 Total Age 60-64
% 2010 Total Age 65-69
% 2010 Total Age 70-74
% 2010 Total Age 75-79
% 2010 Total Age 80-84
% 2010 Total Age 85-89
% 2010 Total Age 90-94
% 2010 Total Age 95+
2010 Dependency Ratio of Children
2010 Dependency Ratio of the Aged
2010 Dependency Ratio
% 2010 Population Age 0-14
% 2010 Population Age 15-64
% 2010 Population Age 65+
2013 Total Population
2013 Total Male Population
2013 Total Female Population
2013 Households
2013 Males Age 0-4
2013 Males Age 5-9
2013 Males Age 10-14
2013 Males Age 15-19
2013 Males Age 20-24
2013 Males Age 25-29
2013 Males Age 30-34
2013 Males Age 35-39
2013 Males Age 40-44
2013 Males Age 45-49
2013 Males Age 50-54
2013 Males Age 55-59
2013 Males Age 60-64
2013 Males Age 65-69
2013 Males Age 70-74
2013 Males Age 75-79
2013 Males Age 80-84
2013 Males Age 85-89
2013 Males Age 90-94
2013 Males Age 95+
2013 Females Age 0-4
2013 Females Age 5-9
2013 Females Age 10-14
2013 Females Age 15-19
2013 Females Age 20-24
2013 Females Age 25-29
2013 Females Age 30-34
2013 Females Age 35-39
2013 Females Age 40-44
2013 Females Age 45-49
2013 Females Age 50-54
2013 Females Age 55-59
2013 Females Age 60-64
2013 Females Age 65-69
2013 Females Age 70-74
2013 Females Age 75-79
2013 Females Age 80-84
2013 Females Age 85-89
2013 Females Age 90-94
2013 Females Age 95+
2013 Total Pop Age 0-4
2013 Total Pop Age 5-9
2013 Total Pop Age 10-14
2013 Total Pop Age 15-19
2013 Total Pop Age 20-24
2013 Total Pop Age 25-29
2013 Total Pop Age 30-34
2013 Total Pop Age 35-39
2013 Total Pop Age 40-44
2013 Total Pop Age 45-49
2013 Total Pop Age 50-54
2013 Total Pop Age 55-59
2013 Total Pop Age 60-64
2013 Total Pop Age 65-69
2013 Total Pop Age 70-74
2013 Total Pop Age 75-79
2013 Total Pop Age 80-84
2013 Total Pop Age 85-89
2013 Total Pop Age 90-94
2013 Total Pop Age 95+
2013 Median Age Total Pop
2013 Median Age Males
2013 Median Age Females
2013 Avg HH Size
% 2013 Males Age 0-4
% 2013 Males Age 5-9
% 2013 Males Age 10-14
% 2013 Males Age 15-19
% 2013 Males Age 20-24
% 2013 Males Age 25-29
% 2013 Males Age 30-34
% 2013 Males Age 35-39
% 2013 Males Age 40-44
% 2013 Males Age 45-49
% 2013 Males Age 50-54
% 2013 Males Age 55-59
% 2013 Males Age 60-64
% 2013 Males Age 65-69
% 2013 Males Age 70-74
% 2013 Males Age 75-79
% 2013 Males Age 80-84
% 2013 Males Age 85-89
% 2013 Males Age 90-94
% 2013 Males Age 95+
% 2013 Females Age 0-4
% 2013 Females Age 5-9
% 2013 Females Age 10-14
% 2013 Females Age 15-19
% 2013 Females Age 20-24
% 2013 Females Age 25-29
% 2013 Females Age 30-34
% 2013 Females Age 35-39
% 2013 Females Age 40-44
% 2013 Females Age 45-49
% 2013 Females Age 50-54
% 2013 Females Age 55-59
% 2013 Females Age 60-64
% 2013 Females Age 65-69
% 2013 Females Age 70-74
% 2013 Females Age 75-79
% 2013 Females Age 80-84
% 2013 Females Age 85-89
% 2013 Females Age 90-94
% 2013 Females Age 95+
% 2013 Total Age 0-4
% 2013 Total Age 5-9
% 2013 Total Age 10-14
% 2013 Total Age 15-19
% 2013 Total Age 20-24
% 2013 Total Age 25-29
% 2013 Total Age 30-34
% 2013 Total Age 35-39
% 2013 Total Age 40-44
% 2013 Total Age 45-49
% 2013 Total Age 50-54
% 2013 Total Age 55-59
% 2013 Total Age 60-64
% 2013 Total Age 65-69
% 2013 Total Age 70-74
% 2013 Total Age 75-79
% 2013 Total Age 80-84
% 2013 Total Age 85-89
% 2013 Total Age 90-94
% 2013 Total Age 95+
2016 Total Population
2016 Total Male Population
2016 Total Female Population
2016 Households
2016 Males Age 0-4
2016 Males Age 5-9
2016 Males Age 10-14
2016 Males Age 15-19
2016 Males Age 20-24
2016 Males Age 25-29
2016 Males Age 30-34
2016 Males Age 35-39
2016 Males Age 40-44
2016 Males Age 45-49
2016 Males Age 50-54
2016 Males Age 55-59
2016 Males Age 60-64
2016 Males Age 65-69
2016 Males Age 70-74
2016 Males Age 75-79
2016 Males Age 80-84
2016 Males Age 85-89
2016 Males Age 90-94
2016 Males Age 95+
2016 Females Age 0-4
2016 Females Age 5-9
2016 Females Age 10-14
2016 Females Age 15-19
2016 Females Age 20-24
2016 Females Age 25-29
2016 Females Age 30-34
2016 Females Age 35-39
2016 Females Age 40-44
2016 Females Age 45-49
2016 Females Age 50-54
2016 Females Age 55-59
2016 Females Age 60-64
2016 Females Age 65-69
2016 Females Age 70-74
2016 Females Age 75-79
2016 Females Age 80-84
2016 Females Age 85-89
2016 Females Age 90-94
2016 Females Age 95+
2016 Total Pop Age 0-4
2016 Total Pop Age 5-9
2016 Total Pop Age 10-14
2016 Total Pop Age 15-19
2016 Total Pop Age 20-24
2016 Total Pop Age 25-29
2016 Total Pop Age 30-34
2016 Total Pop Age 35-39
2016 Total Pop Age 40-44
2016 Total Pop Age 45-49
2016 Total Pop Age 50-54
2016 Total Pop Age 55-59
2016 Total Pop Age 60-64
2016 Total Pop Age 65-69
2016 Total Pop Age 70-74
2016 Total Pop Age 75-79
2016 Total Pop Age 80-84
2016 Total Pop Age 85-89
2016 Total Pop Age 90-94
2016 Total Pop Age 95+
2016 Median Age Total Pop
2016 Median Age Males
2016 Median Age Females
2016 Avg HH Size
% 2016 Males Age 0-4
% 2016 Males Age 5-9
% 2016 Males Age 10-14
% 2016 Males Age 15-19
% 2016 Males Age 20-24
% 2016 Males Age 25-29
% 2016 Males Age 30-34
% 2016 Males Age 35-39
% 2016 Males Age 40-44
% 2016 Males Age 45-49
% 2016 Males Age 50-54
% 2016 Males Age 55-59
% 2016 Males Age 60-64
% 2016 Males Age 65-69
% 2016 Males Age 70-74
% 2016 Males Age 75-79
% 2016 Males Age 80-84
% 2016 Males Age 85-89
% 2016 Males Age 90-94
% 2016 Males Age 95+
% 2016 Females Age 0-4
% 2016 Females Age 5-9
% 2016 Females Age 10-14
% 2016 Females Age 15-19
% 2016 Females Age 20-24
% 2016 Females Age 25-29
% 2016 Females Age 30-34
% 2016 Females Age 35-39
% 2016 Females Age 40-44
% 2016 Females Age 45-49
% 2016 Females Age 50-54
% 2016 Females Age 55-59
% 2016 Females Age 60-64
% 2016 Females Age 65-69
% 2016 Females Age 70-74
% 2016 Females Age 75-79
% 2016 Females Age 80-84
% 2016 Females Age 85-89
% 2016 Females Age 90-94
% 2016 Females Age 95+
% 2016 Total Age 0-4
% 2016 Total Age 5-9
% 2016 Total Age 10-14
% 2016 Total Age 15-19
% 2016 Total Age 20-24
% 2016 Total Age 25-29
% 2016 Total Age 30-34
% 2016 Total Age 35-39
% 2016 Total Age 40-44
% 2016 Total Age 45-49
% 2016 Total Age 50-54
% 2016 Total Age 55-59
% 2016 Total Age 60-64
% 2016 Total Age 65-69
% 2016 Total Age 70-74
% 2016 Total Age 75-79
% 2016 Total Age 80-84
% 2016 Total Age 85-89
% 2016 Total Age 90-94
% 2016 Total Age 95+
% 2013 Total Males
% 2013 Total Females
% 2013 Total All Ages
% 2016 Total Males
% 2016 Total Females
% 2016 Total All Ages
2013 Total Population at Age 0-14
2013 Total Population at Age 15-64
2013 Total Population at Age 65 and over
2016 Total Population at Age 0-14
2016 Total Population at Age 15-64
2016 Total Population at Age 65 and over
% 2013 Total 0 to 14
% 2013 Total 15 to 64
% 2013 Total 65 plus
% 2016 Total 0 to 14
% 2016 Total 15 to 64
% 2016 Total 65 plus
Average Stable Night Time Lights 2010
Average Stable Night Time Lights 2012
Average VIIRS Lights 2012
Area Sq Km
Average Stable Night Time Lights 2000
Average ISA 2010
Aggregate Stable Night Time Lights 2000
Aggregate Stable Night Time Lights 2010
Aggregate Stable Night Time Lights 2012
Aggregate ISA 2010
Aggregate VIIRS 2012

Demographic variables are also available to the Prefecture Cities (341 polygons) and select Counties (368 polygons). Variables include:

Total Population at year-end(10000 persons)
Number of Employees(10000 persons)
Number of Urban Registered Unemployees(10000 persons)
Land Area(10000sq.km)
Gross Domestic Product(100 million yuan)
Primary Industry Percentage(100 million yuan)
Secondary Industry Percentage(100 million yuan)
Tertiary Industry Percentage(100 million yuan)
Gross Industrial Output Value of Enterprises above Designated Size(100 million yuan)
Gross Industrial Output Value of Domestic-funded Enterprises(100 million yuan)
Sales Value in Wholesale and Retail Sale Trade(100 million yuan)
Total Retail Sales of Consumer Goods(100 million yuan)
Budgetary Revenue of Local Government(100 million yuan)
Budgetary Expenditure of Local Government(100 million yuan)
Deposit(100 million yuan)
Loan(100 million yuan)
Outstanding Amount of Savings Deposit of Urban and Rural Residents at Year-end(100 million yuan)
Number of Regular Secondary Schools(unit)
Number of Primary Schools(unit)
Number of Full-time Teachers in Regular Secondary Schools(10000 persons)
Number of Full-time Teachers in Primary Schools(10000 persons)
Student Enrollment in Regular Secondary Schools(10000 persons)
Student Enrollment in Primary Schools(10000 persons)
Number of Hospitals(unit)
Number of Beds in Hospitals(10000 units)
Number of Local Telephone Users(10000 subscribers)
Mobile Phones Users(10000 subscribers)
Volume of Sulphur Dioxide Exhausted(ton)
Expenditures for Science and Technology(100 million yuan)
Internet Service Users(10000 subscribers)
Total Wage of Employees(100 million yuan)
Average Wage of Staff and Workers(yuan)
Per Capita Gross Domestic Product(yuan person)
Population Density(person per sq.km)
Number of Employees(10000 persons)

Contact us today to learn more about our China map demographics.