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Economic Indicator Forecast - China

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30 year forecasts and historical data starting from 1970 for key indicators across 31 Chinese regions, such as GDP, CPI, and average wages. Also includes historical data for 30 cities by sector (Industrial, Residental and Commercial) details, such as land prices, rent, and fiscal balances.

Industry Domain:


Economic & Country Risk

Publisher:


IHS Markit

Content Type:


Structured

Access/Delivery Methods:


REST, Python, S3 Proxy, SQL

Keywords

  • Employment
  • Labor Force
  • Number of households
  • Population
  • Population by age
  • Population growth
  • Rural population
  • Unemployment
  • Unemployment Rate
  • Urban population
Interested in this data? Download free data samples, dictionaries and documentation

Data Set

Dataset NameDataset DescriptionData FormatPublishing Frequency
Economic Indicator Forecast - China - Timeseries31 year forecasts and historical data starting from 1970 for key indicators across 31 Chinese regions, such as GDP, CPI, and average wages. Also includes historical data for 30 cities by sector (Industrial, Residential and Commercial) details, such as land prices, rent, and fiscal balances.ParquetMonthly
Economic Indicator Forecast - ChinaThis dataset is in a nested parquet format, for more data analytics friendly format use the separate timeseries and metadata datasets and join on 'source_id'. 30 year forecasts and historical data starting from 1970 for key indicators across 31 Chinese regions, such as GDP, CPI, and average wages. Also includes historical data for 30 cities by sector (Industrial, Residential and Commercial) details, such as land prices, rent, and fiscal balances.ParquetMonthly
Economic Indicator Forecast - China - Metadata30 year forecasts and historical data starting from 1970 for key indicators across 31 Chinese regions, such as GDP, CPI, and average wages. Also includes historical data for 30 cities by sector (Industrial, Residential and Commercial) details, such as land prices, rent, and fiscal balances.ParquetMonthly
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