Macroeconomic Data

Guide for accessing China macroeconomic data.

GDP Data

import finvista as fv

df = fv.get_cn_macro_gdp()

Return Columns

Column	Description
date	Quarter end date
gdp	GDP value (billion CNY)
gdp_yoy	Year-over-year growth rate

CPI Data

Consumer Price Index:

df = fv.get_cn_macro_cpi()

Return Columns

Column	Description
date	Month
cpi	CPI value
cpi_yoy	Year-over-year change
cpi_mom	Month-over-month change

PPI Data

Producer Price Index:

df = fv.get_cn_macro_ppi()

PMI Data

Purchasing Managers' Index:

df = fv.get_cn_macro_pmi()

Return Columns

Column	Description
date	Month
pmi	Manufacturing PMI
pmi_non_mfg	Non-manufacturing PMI

Money Supply

M0, M1, M2 data:

df = fv.get_cn_macro_money_supply()

Return Columns

Column	Description
date	Month
m0	Currency in circulation
m0_yoy	M0 YoY growth
m1	Narrow money
m1_yoy	M1 YoY growth
m2	Broad money
m2_yoy	M2 YoY growth

Social Financing

Total Social Financing:

df = fv.get_cn_macro_social_financing()

Data Source

Source	Data Types
East Money	All macro data

Examples

Economic Dashboard

import finvista as fv

# Get latest data
gdp = fv.get_cn_macro_gdp()
cpi = fv.get_cn_macro_cpi()
pmi = fv.get_cn_macro_pmi()

print("=== China Economic Dashboard ===")
print(f"Latest GDP Growth: {gdp.iloc[-1]['gdp_yoy']:.1f}%")
print(f"Latest CPI: {cpi.iloc[-1]['cpi_yoy']:.1f}%")
print(f"Latest PMI: {pmi.iloc[-1]['pmi']:.1f}")

Plot Money Supply Growth

import matplotlib.pyplot as plt

df = fv.get_cn_macro_money_supply()

plt.figure(figsize=(12, 6))
plt.plot(df['date'], df['m0_yoy'], label='M0')
plt.plot(df['date'], df['m1_yoy'], label='M1')
plt.plot(df['date'], df['m2_yoy'], label='M2')
plt.legend()
plt.title('China Money Supply Growth')
plt.ylabel('YoY Growth (%)')
plt.show()

Inflation Trend

df = fv.get_cn_macro_cpi()

# Last 12 months
recent = df.tail(12)
avg_cpi = recent['cpi_yoy'].mean()
print(f"Average CPI (last 12 months): {avg_cpi:.2f}%")