The Global Demographics Online Database

This is a subscription based on-line service. There are three packages available:
1: All 106 countries and 31 Provinces of China - US$970 pa per user
2: The 212 Provincial Capitals and Prefecture Capital cities of China - US$1,590 per annum per user
3: The other 400 cities of China - US$2,000 per annum per user


Site/corporate wide licence is equivalent of 3 users

Below is a brief description of what the Online Database enables you to do. 

For the full user manual please click here


There are two components to Online Database

Quickview and Datamine

Quickview is a series of preset tables and charts which you can select between from the menu on the left of the screen. Any selection can be downloaded in csv format.

Datamine gives you the ability to create your own tables - selecting multiple countries/Provinces/cities, years and variables. The resulting table can be downloaded in csv format


QuickView 

This is the openign screen after logging in to Demographics 360. 

Quickview is designed to allow you to quickly look up key statistics on the selected region.  You only have to make two selections -

  1. at the top right you select the country/province/city you want to get information on and

  2. Down the left side is a list of predefined tables - simply click on one and the table and the associated chart is displayed.

In addition you can also select to show on the same screen either

  1. charts of these variables, or

  2. the same table for another country/region or city making quick comparisons very easy. For example which country has the faster growing birth rate – the United Kingdom or Germany?

In addition you can select the years displayed in each of the 5 columns. The year range available is 2005 to 2037.

 

The preset tables that are available are listed below.  We add to this set from time to time in response to user requests.

Quickview combined.png
Menu Heading Sub Menus Variables plotted
Population Total Population, total births, total deaths, Women of child bearing age, birth rate and Compound average growth rate for selected periods
Age Profile Table 1: Number of persons in each of the following age groups: 0-14; 15-24; 25-39; 40-64; 65+; Total.
Table 2: The percentage of total populaiton in each of these same age groups:
Table 3: Absolute change in segment size (persons 000s) between selected years
Urbanisation Total Population, Urban Populaiton, Rural Population, Urban as % of total populaiton, CAGR (Compound average growth rate) of urban population
Households All Households, Change, CAGR. AVerage Size in Persons
Percent of all households that are 1-2 person; 3-4 person; 5+ person
Urban (if available) Households, CAGR, Average size (persons) and % of all households
Rural (if available) Households, CAGR, Average size (persons) and % of all households
Employment Table 1: Working age population 000s, Employed persons (000s)
Table 2: Propensity of working age to be employed: Average, Males, Females
Table 3: Percentage of populaiton employed, Employed per Household, Dependents per worker
Education Table 1: Percent of population with Vocational or Tertiary Qualification, Percent with Upper Secondary as highest level
Table 2: Index value of overall population 15 yrs + educaiton profile
Private Consumption Expenditure Table 1: Total Real GDP (US$ Bn), Real GDP per Capita (US$); CAGR of Total GDP and GDP per capita
Table 2: Private Consumption Expenditure (PCE) US$ Bn, PCE as share of total GDP; PCE per Household (US$); Average annual Growth Rate of total PCE; PCE per household as % Gross Household Income
Fixed Capital Investment Fixed Capital Investment (FCI) per annum US$ Bn; CAGR; FCI pa per worker (US$); CAGR; Number of Workers (000s); CAGR; Accumulated FCI per Worker per annum (US$); CAGR
GDP GDP Estimate Table 1: Number of Workers (000s), GDP per Worker (US$ pa); Total Real DP pa (US$ Bn)
Table 2; CAGR of the above three variables
GDP GDP per Worker Table 1: Average Income (wage) per worker (US$ pa) and CAGR
Table 2; CAGR of the above three variables
Table 2: Productivity per worker (US$) and CAGR
Table 3: Wages as % of GDP per worker; Return per $ Wage
Table 4: Average number of employed per household; Average Household Income (average wage * number of workers per household); CAGR
GDP GDP Drivers Table 1: Working Age Population (15 to 74 yrs) in 000s; Propensity to be employed (%); Number of Workers (000s); CAGR of number of workers
Table 2: Education Index; Accumulated Fixed Capital Investmnet per Worker (US$)
Table 3: CAGR of Drivers
Table 4: GDP per worker (US$ pa); CAGR
Income Income Groups User selects an Income Segment (eg US$20,000 to 25,000) for each of the two tables displayed. The second must be higher than the first. The Third Table shows the average for the selected range.
For each of the three tables the following data is displayed for the segment:
Number of Households (000s); Percent of all Households in Segment; Household size; Gross Income (US$ pa), Total Expenditure, Expenditure on each of 12 Categories.
Income Gross Income Table 1 - All Households: Gross Income US$ pa; Savings and Tax; Expenditure US$ pa
Tables 2 and 3: Repeat of Table 1 for each of Urban and Rural Households in the case of China
Household Income Average and Median Table 1 - All Households: Average and Median Household Income US$ pa adn CAGR of Average
Tables 2 and 3: Repeat of Table 1 for each of Urban and Rural Households in the case of China
Household Income National Household Income Distribution Table 1 - Number of Households (000s) in each of US$1-10,000; US$10,000-20,000; US$20,000-50,000; US$50,000-125,000; US$125,000 and above
Percent of households in each of the 5 income segment
Absolute change in number of households in each segment for user selected years
Household Income Urban Household Income Distribution Same as National but for Urban Households Only - applies to China Only
Household Income Rural Household Income Distribution Same as National but for Rural Households Only - applies to China Only
Savings and Expenditure 14 Categories as listed Table 1: Percent of Gross income spent on category by Income Segment
Table 2: Amount spent per housheold (US$) on expenditure cateory by income segment
Table 3: Total expenditure of all households in that income segment on that cateory (US$ Mn)
Table 4: Share of total Spend on category each income segment accounts for
Table 5: Income segment's share of households

This is repeated for each Expenditure Category
Age by Income Segments Persons by age and Household income Table 1: Persons (000s) in age segment by Household income segment for first selected year
Table 2: Persons (000s) in age segment by Household income segment for second selected year
Table 3: CAGR for each Cell for the selected year range

DATAMINE

Build a custom table in seconds. This feature allows you to extract:

  • any variable

  • for any years (between 2004 to 2035)

  • for any country, China province or city

Instantly! Paste the resulting table into your excel worksheet.

You can choose multiple instances of any 2 of the three categories above, and one for the other. For Example: 5, variables for 3 years for 1 country. It saves you time looking up data sources. It is at your fingertips.

 

Datamine.JPG

 

 

Graphs & Heatmaps

Create a chart in seconds, on any of the demographic variables included in the demographics database for any of the countries covered.

This features provides a quick comparison for a variable across countries. Compare the same variable using a range of graphs or our heatmap. (Mapping for China Provinces and Cities will be available in the next few months)

Quick export allows you to quickly drop the data into your report.


Create Your Own Forecasts  (Coming Soon)

With our ‘Interactive Forecasts’ app you can choose any country, China Province or City – alter the forecast value for any or all of the variables in the centre of the chart below and to see the impact on the demographic and economic variables listed around the chart for the years you have selected.

Many variables influence the future demographic and socio economic profile of a country. It’s not always agreed how these might change in future. For example, in a particular country the birth rates might not reduce as fast as some expect and with that, female participation in the workforce does not increase. This will limit growth of the labour force, GDP, household incomes – by how much?  You can test as many scenarios as you like.

Cause & Effect