Yichun(H): China City Data from the Economist Intelligence Unit

• Provider: The Economist Intelligence Unit
• Source URL: http://www.eiu.com/
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• Catalog: Yearly from 1999 to 2020
• Localized to: English
• Tags: Environment, Banking, Income, Investment, Output, Foreign investment, Demographics, Government finances, Public transport, Consumer markets, Utilities, Wages and prices, Health care, Labour, Telecoms, Retail industry, Land use, Yichun(H).
• Description:

  This comprehensive dataset includes a full suite of up to 320 key economic indicators for Yichun(H). It includes both long-term historical data and long-term forecast data.

• Dimensions

  • Indicator
    • Wages and prices
    • Total wages
    • Total wages (metropolitan)
    • Average wage
    • Average wage (metropolitan)
    • Land use
    • Land area (prefecture; sq km)
    • Land area (metropolitan; sq km)
    • Built area (metropolitan; sq km)
    • Investment
    • Fixed asset investment
    • Fixed asset investment (metropolitan)
    • Fixed asset investment (property; prefecture)
    • Fixed asset investment (property; metropolitan)
    • Fixed asset investment (residential property; prefecture)
    • Fixed asset investment (residential property; metropolitan)
    • Retail industry
    • Sales of retail and wholesale firms
    • Sales of retail and wholesale firms (metropolitan)
    • Total retail sales
    • Total retail sales (metropolitan)
    • No. of retail and wholesale firms with annual revenue >Rmb5m
    • No. of retail and wholesale firms >Rmb5m (metropolitan)
    • Foreign investment
    • No. of FDI contracts signed
    • No. of FDI contracts signed (metropolitan)
    • Contracted Foreign Direct Investment
    • Contracted Foreign Direct Investment (metropolitan)
    • Actual Foreign Direct Investment
    • Actual Foreign Direct Investment (metropolitan)
    • Government finances
    • Government budgetary revenue
    • Government budgetary expenditure
    • Government budgetary expenditure (science; prefecture)
    • Government budgetary expenditure (education; prefecture)
    • Government budgetary revenue (metropolitan)
    • Government budgetary expenditure (metropolitan)
    • Government budgetary expenditure (science; metropolitan)
    • Government budgetary expenditure (education; metropolitan)
    • Banking
    • Outstanding loans at year-end
    • Outstanding loans at year-end (metropolitan)
    • Deposits at year end
    • Deposits at year end (metropolitan)
    • Deposits at year end (household deposts; prefecture)
    • Deposits at year end (household deposts; metropolitan)
    • Education and culture
    • No. of tertiary education institutes
    • No. of tertiary education institutes (metropolitan)
    • No. of secondary schools
    • No. of secondary schools (metropolitan)
    • No. of primary schools
    • No. of primary schools (metropolitan)
    • No. of instructors in higher education
    • No. of instructors in higher education (metropolitan)
    • No. of instructors in secondary education
    • No. of instructors in secondary education (metropolitan)
    • No. of instructors in primary education
    • No. of instructors in primary education (metropolitan)
    • No. of students enrolled in higher education
    • No. of students enrolled in higher education (metropolitan)
    • No. of students enrolled in secondary education
    • No. of students enrolled in secondary education (metropolitan)
    • No. of students enrolled in primary education
    • No. of students enrolled in primary education (metropolitan)
    • Health care
    • No. of hospitals and health centres
    • No. of hospitals and health centres (metropolitan)
    • No. of hospital beds
    • No. of hospital beds (metropolitan)
    • No. of doctors
    • No. of doctors (metropolitan)
    • Transport, logistics and postal services
    • Passenger traffic (total trips; prefecture)
    • Passenger traffic (rail trips; prefecture)
    • Passenger traffic (road trips; prefecture)
    • Passenger traffic (air trips; prefecture)
    • Freight traffic (total tonnage; prefecture)
    • Freight traffic (rail tonnage; prefecture)
    • Freight traffic (road tonnage; prefecture)
    • No. of post offices
    • No. of post offices (metropolitan)
    • Postal services revenue
    • Postal services revenue (metropolitan)
    • Telecoms
    • Telecommunications revenue
    • Telecommunications revenue (metropolitan)
    • No. of fixed telephone line subscribers
    • No. of fixed telephone line subscribers (metropolitan)
    • No. of mobile telephone subscribers
    • No. of mobile telephone subscribers (metropolitan)
    • No. of internet users
    • No. of internet users (metropolitan)
    • Utilities
    • Water consumption (tonnes; metropolitan)
    • Water consumption (households; tonnes; metropolitan)
    • Electricity consumption (kwh; metropolitan)
    • Electricity consumption (kwh; industry; metropolitan)
    • Electricity consumption (kwh;; urban households; metropolitan)
    • Liquid Petroleum Gas consumption (tonnes; metropolitan)
    • Liquid Petroleum Gas consumption (tonnes; households; metropolitan)
    • Public transport
    • Navigable road area (sq m; metropolitan)
    • No. of vehicles in public transport (metropolitan)
    • Passenger throughput of public buses (trips; metropolitan)
    • No. of taxis (metropolitan)
    • Environment
    • Industrial waste water discharge (tonnes; prefecture)
    • Industrial sulphur dioxide treated (tonnes; prefecture)
    • Industrial sulphur dioxide emissions (tonnes; prefecture)
    • Industrial soot treated (tonnes; prefecture)
    • Industrial soot emissions (tonnes; prefecture)
    • Sewage treatment rate (refecture)
    • Demographics
    • Population change
    • Total migrant inflow p.a.
    • Total migrant outflow p.a.
    • Total net migrant inflow p.a.
    • Total births
    • Total deaths
    • Total natural increase
    • Metropolitan migrant inflow p.a.
    • Metropolitan migrant outflow p.a.
    • Metropolitan births
    • Metropolitan deaths
    • Metropolitan natural increase
    • Total population
    • Male
    • Male population
    • Male population 0-4
    • Male population 5-9
    • Male population 10-14
    • Male population 15-19
    • Male population 20-24
    • Male population 25-29
    • Male population 30-34
    • Male population 35-39
    • Male population 40-44
    • Male population 45-49
    • Male population 50-54
    • Male population 55-59
    • Male population 60-64
    • Male population 65-69
    • Male population 70-74
    • Male population 75-79
    • Male population 80-84
    • Male population 85+
    • Male population 15-64
    • Female
    • Female population
    • Female population 0-4
    • Female population 5-9
    • Female population 10-14
    • Female population 15-19
    • Female population 20-24
    • Female population 25-29
    • Female population 30-34
    • Female population 35-39
    • Female population 40-44
    • Female population 45-49
    • Female population 50-54
    • Female population 55-59
    • Female population 60-64
    • Female population 65-69
    • Female population 70-74
    • Female population 75-79
    • Female population 80-84
    • Female population 85+
    • Female population 15-64
    • Total
    • Population
    • Population 0-4
    • Population 5-9
    • Population 10-14
    • Population 15-19
    • Population 20-24
    • Population 25-29
    • Population 30-34
    • Population 35-39
    • Population 40-44
    • Population 45-49
    • Population 50-54
    • Population 55-59
    • Population 60-64
    • Population 65-69
    • Population 70-74
    • Population 75-79
    • Population 80-84
    • Population 85+
    • Population 15-64
    • Urban
    • Urban population
    • Rural
    • Rural population
    • Metropolitan area population
    • Male (metropolitan)
    • Male population (metropolitan)
    • Male population 0-4 (metropolitan)
    • Male population 5-9 (metropolitan)
    • Male population 10-14 (metropolitan)
    • Male population 15-19 (metropolitan)
    • Male population 20-24 (metropolitan)
    • Male population 25-29 (metropolitan)
    • Male population 30-34 (metropolitan)
    • Male population 35-39 (metropolitan)
    • Male population 40-44 (metropolitan)
    • Male population 45-49 (metropolitan)
    • Male population 50-54 (metropolitan)
    • Male population 55-59 (metropolitan)
    • Male population 60-64 (metropolitan)
    • Male population 65-69 (metropolitan)
    • Male population 70-74 (metropolitan)
    • Male population 75-79 (metropolitan)
    • Male population 80-84 (metropolitan)
    • Male population 85+ (metropolitan)
    • Male population 15-64 (metropolitan)
    • Female (metropolitan)
    • Female population (metropolitan)
    • Female population 0-4 (metropolitan)
    • Female population 5-9 (metropolitan)
    • Female population 10-14 (metropolitan)
    • Female population 15-19 (metropolitan)
    • Female population 20-24 (metropolitan)
    • Female population 25-29 (metropolitan)
    • Female population 30-34 (metropolitan)
    • Female population 35-39 (metropolitan)
    • Female population 40-44 (metropolitan)
    • Female population 45-49 (metropolitan)
    • Female population 50-54 (metropolitan)
    • Female population 55-59 (metropolitan)
    • Female population 60-64 (metropolitan)
    • Female population 65-69 (metropolitan)
    • Female population 70-74 (metropolitan)
    • Female population 75-79 (metropolitan)
    • Female population 80-84 (metropolitan)
    • Female population 85+ (metropolitan)
    • Female population 15-64 (metropolitan)
    • Total (metropolitan)
    • Population (metropolitan)
    • Population 0-4 (metropolitan)
    • Population 5-9 (metropolitan)
    • Population 10-14 (metropolitan)
    • Population 15-19 (metropolitan)
    • Population 20-24 (metropolitan)
    • Population 25-29 (metropolitan)
    • Population 30-34 (metropolitan)
    • Population 35-39 (metropolitan)
    • Population 40-44 (metropolitan)
    • Population 45-49 (metropolitan)
    • Population 50-54 (metropolitan)
    • Population 55-59 (metropolitan)
    • Population 60-64 (metropolitan)
    • Population 65-69 (metropolitan)
    • Population 70-74 (metropolitan)
    • Population 75-79 (metropolitan)
    • Population 80-84 (metropolitan)
    • Population 85+ (metropolitan)
    • Population 15-64 (metropolitan)
    • Non-metropolitan area population
    • Male (non-metropolitan)
    • Male population (non-metropolitan)
    • Male population 0-4 (non-metropolitan)
    • Male population 5-9 (non-metropolitan)
    • Male population 10-14 (non-metropolitan)
    • Male population 15-19 (non-metropolitan)
    • Male population 20-24 (non-metropolitan)
    • Male population 25-29 (non-metropolitan)
    • Male population 30-34 (non-metropolitan)
    • Male population 35-39 (non-metropolitan)
    • Male population 40-44 (non-metropolitan)
    • Male population 45-49 (non-metropolitan)
    • Male population 50-54 (non-metropolitan)
    • Male population 55-59 (non-metropolitan)
    • Male population 60-64 (non-metropolitan)
    • Male population 65-69 (non-metropolitan)
    • Male population 70-74 (non-metropolitan)
    • Male population 75-79 (non-metropolitan)
    • Male population 80-84 (non-metropolitan)
    • Male population 85+ (non-metropolitan)
    • Male population 15-64 (non-metropolitan)
    • Female (non-metropolitan)
    • Female population (non-metropolitan)
    • Female population 0-4 (non-metropolitan)
    • Female population 5-9 (non-metropolitan)
    • Female population 10-14 (non-metropolitan)
    • Female population 15-19 (non-metropolitan)
    • Female population 20-24 (non-metropolitan)
    • Female population 25-29 (non-metropolitan)
    • Female population 30-34 (non-metropolitan)
    • Female population 35-39 (non-metropolitan)
    • Female population 40-44 (non-metropolitan)
    • Female population 45-49 (non-metropolitan)
    • Female population 50-54 (non-metropolitan)
    • Female population 55-59 (non-metropolitan)
    • Female population 60-64 (non-metropolitan)
    • Female population 65-69 (non-metropolitan)
    • Female population 70-74 (non-metropolitan)
    • Female population 75-79 (non-metropolitan)
    • Female population 80-84 (non-metropolitan)
    • Female population 85+ (non-metropolitan)
    • Female population 15-64 (non-metropolitan)
    • Total (non-metropolitan)
    • Population (non-metropolitan)
    • Population 0-4 (non-metropolitan)
    • Population 5-9 (non-metropolitan)
    • Population 10-14 (non-metropolitan)
    • Population 15-19 (non-metropolitan)
    • Population 20-24 (non-metropolitan)
    • Population 25-29 (non-metropolitan)
    • Population 30-34 (non-metropolitan)
    • Population 35-39 (non-metropolitan)
    • Population 40-44 (non-metropolitan)
    • Population 45-49 (non-metropolitan)
    • Population 50-54 (non-metropolitan)
    • Population 55-59 (non-metropolitan)
    • Population 60-64 (non-metropolitan)
    • Population 65-69 (non-metropolitan)
    • Population 70-74 (non-metropolitan)
    • Population 75-79 (non-metropolitan)
    • Population 80-84 (non-metropolitan)
    • Population 85+ (non-metropolitan)
    • Population 15-64 (non-metropolitan)
    • Consumer markets
    • Expenditure
    • Total expenditure per head (urban)
    • Total expenditure per head: Food (urban)
    • Total expenditure per head: Clothing (urban)
    • Total expenditure per head: Housing/residence (urban)
    • Total expenditure per head: HH facilities, articles & services (urban)
    • Total expenditure per head: Health care & medical services (urban)
    • Total expenditure per head: Transport & communications (urban)
    • Total expenditure per head: Culture, education and recreation (urban)
    • Total expenditure per head: Others (urban)
    • Household stock of consumer durables
    • Motorcycles (urban; ownership per 100 households)
    • Power-assisted vehicles (urban; ownership per 100 households)
    • Washing machines (urban; ownership per 100 households)
    • Refrigerators (urban; ownership per 100 households)
    • Colour televisions (urban; ownership per 100 households)
    • Personal computers (urban; ownership per 100 households)
    • Stereos (urban; ownership per 100 households)
    • Video cameras (urban; ownership per 100 households)
    • Photo cameras (urban; ownership per 100 households)
    • Pianos (urban; ownership per 100 households)
    • Other musical instruments (urban; ownership per 100 households)
    • Microwaves (urban; ownership per 100 households)
    • Air conditioners (urban; ownership per 100 households)
    • Water heaters (for showers) (urban; ownership per 100 households)
    • Kitchen sterilisation cabinets (urban; ownership per 100 households)
    • Dishwashers (urban; ownership per 100 households)
    • Fitness equipment (urban; ownership per 100 households)
    • Fixed telephone (urban; ownership per 100 households)
    • Mobile telephone (urban; ownership per 100 households)
    • Labour
    • Employment
    • Employment (urban)
    • Employment (metropolitan)
    • Employment (private sector; prefecture)
    • Employment (private sector; metropolitan)
    • Registered urban unemployment
    • Registered urban unemployment (metropolitan)
    • Employment (primary sector; prefecture)
    • Employment (primary sector; metropolitan)
    • Employment (secondary sector; prefecture)
    • Employment (secondary sector; metropolitan)
    • Employment (tertiary sector; prefecture)
    • Employment (tertiary sector; metropolitan)
    • Employment (agriculture, fisheries and forestry; prefecture)
    • Employment (agriculture, fisheries and forestry; metropolitan)
    • Employment (mining; prefecture)
    • Employment (mining; metropolitan)
    • Employment (manufacturing; prefecture)
    • Employment (manufacturing; metropolitan)
    • Employment (utilities; prefecture)
    • Employment (utilities; metropolitan)
    • Employment (construction; prefecture)
    • Employment (construction; metropolitan)
    • Employment (transport, distribution and postal services; prefecture)
    • Employment (transport, distribution and postal services; metropolitan)
    • Employment (IT; prefecture)
    • Employment (IT; metropolitan)
    • Employment (retail and wholesale; prefecture)
    • Employment (retail and wholesale; metropolitan)
    • Employment (catering; prefecture)
    • Employment (catering; metropolitan)
    • Employment (finance; prefecture)
    • Employment (finance; metropolitan)
    • Employment (real estate; prefecture)
    • Employment (real estate; metropolitan)
    • Employment (real estate intermediary services; prefecture)
    • Employment (real estate intermediary services; metropolitan)
    • Employment (scientific research and technical services; prefecture)
    • Employment (scientific research and technical services; metropolitan)
    • Employment (management of public facilities; prefecture)
    • Employment (management of public facilities; metropolitan)
    • Employment (household and other services; prefecture)
    • Employment (household and other services; metropolitan)
    • Employment (education; prefecture)
    • Employment (education; metropolitan)
    • Employment (health care and social security; prefecture)
    • Employment (health care and social security; metropolitan)
    • Employment (culture, sports and recreation; prefecture)
    • Employment (culture, sports and recreation; metropolitan)
    • Employment (civil society organisations; prefecture)
    • Employment (civil society organisations; metropolitan)
    • Output
    • Gross domestic product
    • Nominal GDP
    • Nominal GDP (metropolitan)
    • Nominal GDP (US$)
    • GDP per head
    • GDP per head (metropolitan)
    • GDP per head (US$)
    • Real GDP (% change pa)
    • Real GDP (% change pa; metropolitan)
    • Primary sector as % of GDP
    • Primary sector as % of GDP (metropolitan)
    • Secondary sector as % of GDP
    • Secondary sector as % of GDP (metropolitan)
    • Tertiary sector as % of GDP
    • Tertiary sector as % of GDP (metropolitan)
    • Agricultural output
    • Vegetable output (prefecture; metric tonnes)
    • Fruit output (prefecture; metric tonnes)
    • Meat output (prefecture; metric tonnes)
    • Milk output (prefecture; metric tonnes)
    • Aquatic products output (prefecture; metric tonnes)
    • Industrial output
    • Gross industrial output
    • Gross industrial output (metropolitan)
    • Industry
    • Employment by industrial firms
    • Employment by industrial firms (metropolitan)
    • No. of industrial firms with annual revenue >Rmb5m
    • No. of industrial firms with annual revenue >Rmb5m (metropolitan)
    • No. of domestic industrial firms with annual revenue >Rmb5m
    • No. of domestic industrial firms >Rmb5m (metropolitan)
    • No. of HK- and Taiwan-invested industrial firms >Rmb5m
    • No. of HK- and Taiwan-invested industrial firms >Rmb5m (metropolitan)
    • No. of foreign-invested industrial firms with annual revenue >Rmb5m
    • No. of foreign-invested industrial firms >Rmb5m (metropolitan)
    • Gross industrial output of domestic industrial firms >Rmb5m
    • Output of domestic industrial firms >Rmb5m (metropolitan)
    • Output of HK- and Taiwan-invested industrial firms >Rmb5m
    • Output of HK- and Taiwan-invested industrial firms >Rmb5m (metropolitan)
    • Output of foreign-invested industrial firms >Rmb5m
    • Output of foreign-invested industrial firms >Rmb5m (metropolitan)
    • Product sales value of industrial enterprises >Rmb5m
    • Product sales value of industrial enterprises >Rmb5m (metropolitan)
    • Gross profit of industrial enterprises with annual revenue >Rmb5m
    • Gross profit of industrial enterprises >Rmb5m (metropolitan)
    • Current assets of industrial enterprises with annual revenue >Rmb5m
    • Current assets of industrial enterprises >Rmb5m (metropolitan)
    • Fixed assets of industrial enterprises with annual revenue >Rmb5m
    • Fixed assets of industrial enterprises >Rmb5m (metropolitan)
    • Income
    • Urban
    • Disposable income per head (urban)
    • Disposable income per head (urban)
    • # of urban persons earning >10k Rmb
    • # of urban persons earning >15k Rmb
    • # of urban persons earning >20k Rmb
    • # of urban persons earning >30k Rmb
    • # of urban persons earning >40k Rmb
    • # of urban persons earning >50k Rmb
    • # of urban persons earning >60k Rmb
    • % of urban persons earning >10k Rmb
    • % of urban persons earning >15k Rmb
    • % of urban persons earning >20k Rmb
    • % of urban persons earning >30k Rmb
    • % of urban persons earning >40k Rmb
    • % of urban persons earning >50k Rmb
    • % of urban persons earning >60k Rmb
    • # of urban persons earning >10k Rmb (at constant 2005 prices)
    • # of urban persons earning >15k Rmb (at constant 2005 prices)
    • # of urban persons earning >20k Rmb (at constant 2005 prices)
    • # of urban persons earning >30k Rmb (at constant 2005 prices)
    • # of urban persons earning >40k Rmb (at constant 2005 prices)
    • % of urban persons earning >10k Rmb (at constant 2005 prices)
    • % of urban persons earning >15k Rmb (at constant 2005 prices)
    • % of urban persons earning >20k Rmb (at constant 2005 prices)
    • % of urban persons earning >30k Rmb (at constant 2005 prices)
    • % of urban persons earning >40k Rmb (at constant 2005 prices)

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