social2023

Share of jobs at high risk of automation (high probability of automation)

Share of employment in each country at high risk of automation, based on task profiles and probabilities from OECD’s PIAAC approach (latest 2019–2024).

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Key Insights

Global Average
15.6%
Median: 16.0%
Countries Covered
141
with available data
Highest
South Korea
23.0%
Lowest
United States of America
10.0%
Top 5 Countries
1South Korea23.0%
2Japan21.0%
3Islamic Republic of Iran20.0%
4Pakistan20.0%
5Türkiye20.0%
By Region
Asia17.1%(23 countries)
Africa16.8%(9 countries)
Other16.0%(65 countries)
Europe14.2%(31 countries)
North America13.5%(4 countries)

Country Rankings

Top 10 Countries

Bottom 10 Countries

Data Analysis

Value Distribution

How countries are distributed across the value range

Low (10.0%)High (23.0%)

Regional Comparison

Average values by world region (Global avg: 15.6%)

Asia (23)
Africa (9)
Other (65)
Europe (31)
North America (4)
South America (7)
Oceania (2)

Percentile Profile

The curve shows how values change from the lowest to the highest country. Steep sections reveal inequality or outliers.

0th percentile · lowest100th percentile · highest

About This Statistic

Share of employment in each country at high risk of automation, based on task profiles and probabilities from OECD’s PIAAC approach (latest 2019–2024). Source: OECD (based on PIAAC methodology; ‘Jobs at risk of automation’).

Methodology

Country values are taken from the latest observation available in the linked source series.

Full Data

Rank Country Value
1South Korea23.0%
2Japan21.0%
3Islamic Republic of Iran20.0%
4Pakistan20.0%
5Türkiye20.0%
6Bangladesh20.0%
7Myanmar19.0%
8Hungary19.0%
9Nepal19.0%
10Poland19.0%
11Vietnam19.0%
12Thailand19.0%
13Turkmenistan19.0%
14Uzbekistan19.0%
15Belarus18.0%
16People's Republic of China18.0%
17Ethiopia18.0%
18Republic of The Gambia18.0%
19Ghana18.0%
20Guinea18.0%
21Indonesia18.0%
22Iraq18.0%
23Kazakhstan18.0%
24Kyrgyzstan18.0%
25Libya18.0%
26Madagascar18.0%
27Malaysia18.0%
28Mali18.0%
29Mexico18.0%
30Morocco18.0%
31Mozambique18.0%
32Philippines18.0%
33Romania18.0%
34Senegal18.0%
35Serbia18.0%
36Somalia18.0%
37Sudan18.0%
38Tajikistan18.0%
39Togo18.0%
40Tunisia18.0%
41Yemen18.0%
42Algeria18.0%
43Botswana18.0%
44Burundi17.0%
45Cambodia17.0%
46Equatorial Guinea17.0%
47Eritrea17.0%
48Georgia17.0%
49Malawi17.0%
50Mauritania17.0%
51Nigeria17.0%
52Russian Federation17.0%
53Rwanda17.0%
54Sierra Leone17.0%
55South Sudan17.0%
56Ukraine17.0%
57Egypt17.0%
58United Republic of Tanzania17.0%
59Zambia17.0%
60Cameroon16.0%
61Sri Lanka16.0%
62Estonia16.0%
63Greece16.0%
64Haiti16.0%
65India16.0%
66Kenya16.0%
67Latvia16.0%
68Lithuania16.0%
69Vanuatu16.0%
70Papua New Guinea16.0%
71Slovakia16.0%
72Eswatini16.0%
73Tuvalu16.0%
74Angola16.0%
75Austria16.0%
76Armenia16.0%
77Bosnia and Herzegovina16.0%
78Czech Republic15.0%
79Dominican Republic15.0%
80Fiji15.0%
81Italy15.0%
82Jordan15.0%
83Namibia15.0%
84New Caledonia15.0%
85Saudi Arabia15.0%
86Slovenia15.0%
87Azerbaijan15.0%
88Cuba14.0%
89Cyprus14.0%
90Denmark14.0%
91El Salvador14.0%
92Guatemala14.0%
93Honduras14.0%
94Lebanon14.0%
95Mauritius14.0%
96Peru14.0%
97Portugal14.0%
98Venezuela14.0%
99Andorra14.0%
100Bahamas14.0%
101Belgium14.0%
102Bolivia14.0%
103Solomon Islands14.0%
104Colombia13.0%
105Ecuador13.0%
106Finland13.0%
107Germany13.0%
108Jamaica13.0%
109Kuwait13.0%
110Oman13.0%
111Netherlands13.0%
112Panama13.0%
113Paraguay13.0%
114South Africa13.0%
115Suriname13.0%
116United Arab Emirates13.0%
117Bahrain13.0%
118Brazil13.0%
119Brunei Darussalam13.0%
120Canada12.0%
121Costa Rica12.0%
122Croatia12.0%
123France12.0%
124Ireland12.0%
125New Zealand12.0%
126Qatar12.0%
127Saint Lucia12.0%
128Spain12.0%
129Switzerland12.0%
130Trinidad and Tobago12.0%
131Uruguay12.0%
132Argentina12.0%
133Australia12.0%
134Israel11.0%
135Luxembourg11.0%
136Norway11.0%
137Sweden11.0%
138United Kingdom11.0%
139Chile10.0%
140Iceland10.0%
141United States of America10.0%
Showing 141 of 141 countries

Topics

Data Source

This data comes from OECD (based on PIAAC methodology; ‘Jobs at risk of automation’) (2023).

View Original Source