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New Estimates: China subnational - Population for cities
Tuesday, 27 Aug 2019 15:13 ET
By Allyson Fry
Summary
August 2019 -- Moody's Analytics now estimates population by broad age brackets for 21 leading cities in China (84 new quarterly series, from 1994).
Detail

Motivation: Our national source, the National Bureau of Statistics of the People's Republic of China (NBS), reports subnational population under three different programs with different combinations of properties:

  • Census, decennial, total population, from 2000
  • Census, decennial, percent share of population by broad age brackets, from 2000
  • China City Statistical Yearbook, annual, total registered population, from 1994

Response: For international consistency, Moody's Analytics estimates population, by standardized broad age brackets (total, ages 0 to 14, 15 to 64, 65 and older), quarterly, for 21 leading prefecture-level and sub-provincial cities.

Properties

  • Measurements: Thousands of persons (Ths. #)
  • Adjustment: Seasonally adjusted (SA)
  • Geo coverage:
    • 21 select second-level areas
      Six prefecture-level cities, 15 sub-provincial cities
      See attached list
  • Start date:
    • All-ages total: 1994Q4
    • Broad age brackets: 2000Q4

The series reside in the historical catalog (China » Demographics » Population » Moody's Analytics Estimated) and include, for example: 

  • RPOPQ.ICHN_CHA     = Population - All ages, (Ths. #, SA) - for Changchun City
  • RPOP0014Q.ICHN_GUA = Ages 0-14 - for Guangzhou City
  • RPOP1564Q.ICHN_NAN = Ages 15-64 - for Nanjing
  • RPOP65GQ.ICHN_WUX  = Ages 65 and older - for Wuxi City

Because catalog locations are subject to change, the upper-right search box on DataBuffet.com provides a "find in catalog" mode that accepts a mnemonic. 

Method: Please refer to the background documentation in Mnemonic 411. 

See also

Inputs:

Definitions: 

Other
Related ReleasePopulation - Prefectures
SourceMoody's Analytics (ECCA)
FrequencyQuarterly
GeographyChina, People's Republic of
Upcoming
Release DateReference date
02 Dec 20194Q 2017
Attachments