Net migration (World Bank)
This World Bank dataset tracks net migration flows across 35 entities, measuring the net total of migrants as the | Free CSV, JSON & live API. Always current, no re-download.
17,556 rows · 16 columns · Time coverage: 1960 | 2025 · 266 regions/countries · Last data pull: 2026-06-18
This World Bank dataset tracks net migration flows across 35 entities, measuring the net total of migrants as the number of immigrants minus emigrants, including both citizens and noncitizens. Understanding migration patterns is critical for policymakers, economists, and researchers seeking to comprehend labor market dynamics, demographic shifts, and economic development trajectories. The dataset spans from 1960 to 2025, providing nearly seven decades of historical perspective on how global migration has evolved.
The scale of migration varies dramatically across regions and time periods. As of 2025, the highest net migration regions recorded values exceeding 1.9 million, while the lowest fell below negative 3.5 million, reflecting the complex pull and push factors driving human mobility worldwide. Over the full dataset period, values have ranged from a minimum of approximately 10.2 million to a maximum of 10.3 million, with considerable year-to-year variation reflecting economic conditions, conflict, and policy changes.
Long-term trends reveal sustained migration pressures in certain regions. For example, one major region experienced compound annual growth rates reaching 3.02 percent between 1960 and 2025, indicating persistent net inflows. Meanwhile, other areas have transitioned from net emigration in 1960 to significant net immigration by 2025, suggesting dramatic shifts in economic opportunity and stability. The dataset's 2434 total observations enable granular analysis of migration patterns across time and geography.
Researchers, policy analysts, and journalists rely on this dataset to track international mobility trends, evaluate immigration policy impacts, forecast demographic changes, and understand labor market integration patterns across different development contexts.
Chart: US Net Migration Tripled Since 1960 | 5 Countries Compared
Query via API instead of re-downloading. Live REST API and instant in-browser charts stay source-synced with the primary publisher | no CSV exports to maintain, no Excel or Power BI refresh cycles, MCP-ready for Claude, ChatGPT, and Cursor.
Indicator code: SM.POP.NETM · direct CSV, JSON, and live API access below.
Show API + MCP usage examples
# Get data (JSON)
curl "https://autario.com/api/v1/public/datasets/aa58a94d-bc0d-43e9-a8da-1a7b81d9916a/data?limit=100"
# Filter by country and year
curl "https://autario.com/api/v1/public/datasets/aa58a94d-bc0d-43e9-a8da-1a7b81d9916a/data?filter=country_code:eq:DEU&filter=year:gte:2010&sort=year:desc"
# CSV export (login required)
curl "https://autario.com/api/v1/public/datasets/aa58a94d-bc0d-43e9-a8da-1a7b81d9916a/export"
# Python
import requests
r = requests.get("https://autario.com/api/v1/public/datasets/aa58a94d-bc0d-43e9-a8da-1a7b81d9916a/data", params={"limit": 100})
data = r.json()["data"]
Full API docs · Agent guide · MCP setup for Claude / ChatGPT / Cursor · No API key required for public data.
Original source: World Bank (source code: SM.POP.NETM)
Sample rows
| indicator | indicator_id | country | country_id | countryiso3code | date | value | unit |
|---|
| Net migration | SM.POP.NETM | Africa Eastern and Southern | ZH | AFE | 2025 | 114862 | |
| Net migration | SM.POP.NETM | Africa Eastern and Southern | ZH | AFE | 2024 | -670014 | |
| Net migration | SM.POP.NETM | Africa Eastern and Southern | ZH | AFE | 2023 | -989975 | |
| Net migration | SM.POP.NETM | Africa Eastern and Southern | ZH | AFE | 2022 | -220428 | |
| Net migration | SM.POP.NETM | Africa Eastern and Southern | ZH | AFE | 2021 | 187508 | |
| Net migration | SM.POP.NETM | Africa Eastern and Southern | ZH | AFE | 2020 | 340127 | |
| Net migration | SM.POP.NETM | Africa Eastern and Southern | ZH | AFE | 2019 | 100706 | |
| Net migration | SM.POP.NETM | Africa Eastern and Southern | ZH | AFE | 2018 | 327087 | |
| Net migration | SM.POP.NETM | Africa Eastern and Southern | ZH | AFE | 2017 | 340934 | |
| Net migration | SM.POP.NETM | Africa Eastern and Southern | ZH | AFE | 2016 | -799850 | |
Related datasets
Topic hubs: Migration & Refugees
Keywords: SM.POP.NETM, World Bank, WDI, countries, Financial Sector, Health, Aid Effectiveness
Open Net migration (World Bank) on autario.com