Official Python SDK for Statistics of the World — free API for 490+ global economic indicators, 218 countries, 20+ years of history.
Project description
statisticsoftheworld
Official Python SDK for Statistics of the World — free API for 490+ global economic indicators across 218 countries with 20+ years of history.
Data sourced from IMF, World Bank, FRED, UN, and more.
Install
pip install statisticsoftheworld
With pandas support:
pip install statisticsoftheworld[pandas]
Quick Start
from sotw import SOTW
sotw = SOTW()
# List all countries
countries = sotw.countries()
for c in countries["data"][:5]:
print(c["id"], c["name"])
# Get all indicators for Canada
canada = sotw.country("CAN")
for ind in canada["indicators"][:5]:
print(ind["id"], ind["value"])
# GDP rankings — top 10
top10 = sotw.rankings("IMF.NGDPD", limit=10)
for entry in top10["data"]:
print(f"#{entry['rank']} {entry['country']}: ${entry['value']:,.0f}")
# Historical GDP for Canada
history = sotw.history("IMF.NGDPD", "CAN")
for row in history["data"][-5:]:
print(row["year"], row["value"])
Pandas Integration
from sotw import SOTW
sotw = SOTW()
# Historical data as DataFrame
df = sotw.history_df("IMF.NGDPD", "CAN")
print(df.tail())
# year value
# 20 2020 1.644037e+12
# 21 2021 2.001000e+12
# ...
# Rankings as DataFrame
df = sotw.rankings_df("SP.POP.TOTL", limit=10)
print(df)
# rank countryId country value
# 0 1 CHN China 1425893000.0
# 1 2 IND India 1428628000.0
# ...
# All indicators for a country
df = sotw.country_df("USA")
print(df[["id", "value"]].head())
API Key (Optional)
Without a key you get 1,000 requests/day. For higher limits, get a free key at statisticsoftheworld.com/pricing:
sotw = SOTW(api_key="sotw_your_key_here")
API Reference
SOTW(api_key=None, base_url=None)
Create a new client.
Methods
| Method | Description |
|---|---|
sotw.countries() |
List all 218 countries |
sotw.country(id) |
Get a country with all indicator values |
sotw.indicators() |
List all 490+ indicators |
sotw.indicator(id) |
Get an indicator ranked across all countries |
sotw.history(indicator, country) |
Get 20+ years of historical data |
sotw.rankings(indicator, limit=None) |
Get countries ranked by indicator |
sotw.history_df(indicator, country) |
Historical data as pandas DataFrame |
sotw.rankings_df(indicator, limit=None) |
Rankings as pandas DataFrame |
sotw.country_df(country_id) |
Country indicators as pandas DataFrame |
Common Indicator IDs
| ID | Indicator |
|---|---|
IMF.NGDPD |
GDP (nominal, USD) |
SP.POP.TOTL |
Population |
IMF.PCPIPCH |
Inflation rate (%) |
SL.UEM.TOTL.ZS |
Unemployment rate (%) |
SP.DYN.LE00.IN |
Life expectancy |
NY.GDP.PCAP.CD |
GDP per capita |
Links
License
MIT
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file statisticsoftheworld-1.0.0.tar.gz.
File metadata
- Download URL: statisticsoftheworld-1.0.0.tar.gz
- Upload date:
- Size: 5.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2cdf497fa53f79f95767a86a875c2c536b0cdc2a9b1ebbd729d7a10ba7f0a5a1
|
|
| MD5 |
15038c8a2b9a92bb2fee1fdeac0480ec
|
|
| BLAKE2b-256 |
051ba772f797fe1d0f4e967fe2f8fe65df9b3bc71be3fad4b0664ca87cbedc10
|
File details
Details for the file statisticsoftheworld-1.0.0-py3-none-any.whl.
File metadata
- Download URL: statisticsoftheworld-1.0.0-py3-none-any.whl
- Upload date:
- Size: 6.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1e46960bc428403114db20a093b0a54ceac7fa9c9354b0b3fd5ccedb837b30b1
|
|
| MD5 |
0edb86e2429e860824b0cf99adf61c28
|
|
| BLAKE2b-256 |
6fa711130a9b3249ee84165cde039acd13dec410a505c31ed602c5b5cff0d817
|