Countries by Medium and high-tech manufacturing value added (% manufacturing value added)

Myanmar ranks 1st in medium and high-tech manufacturing value added at 92.58% of total manufacturing value added, a figure that sits far above second-ranked Singapore at 82.33%. At the other end, Cambodia ranks 153rd at just 0.26%. The 92-percentage-point gap between top and bottom reflects the wide structural differences in manufacturing composition across 153 countries.

Economy category

Ranking 2022

Values shown in %.

Countries by Medium and high-tech manufacturing value added (% manufacturing value added)
Rank	Country	%
1	Myanmar	92.58
2	Singapore	82.33
3	Switzerland	71.37
4	South Korea	65.57
5	Qatar	62.46
6	Germany	57.92
7	Denmark	55.08
8	Japan	54.67
9	Ireland	54.26
10	Netherlands	53.88
11	Hungary	51.51
12	Belgium	51.23
13	France	50.39
14	Sweden	49.93
15	Czechia	49.91
16	Israel	49.07
17	Slovakia	46.74
18	Austria	45.95
19	Finland	45.71
20	Oman	45.02
21	Malaysia	44.59
22	United States	44.08
23	Mexico	42.37
24	Italy	41.91
25	India	41.56
26	China	41.45
27	Thailand	41.36
28	Norway	40.86
29	United Kingdom	40.75
30	Romania	40.01
31	Hong Kong	39.75
32	Trinidad and Tobago	39.38
33	United Arab Emirates	39.18
34	Malta	39.09
35	Vietnam	38.70
36	Barbados	38.11
37	Spain	37.81
38	Slovenia	37.23
39	Bulgaria	36.66
40	Iran	36.38
41	Lithuania	35.68
42	Russia	34.87
43	Venezuela	34.28
44	Türkiye	33.82
45	Nigeria	33.44
46	Poland	32.99
47	North Macedonia	32.91
48	Canada	31.94
49	Kuwait	31.92
50	Brazil	31.34
51	Indonesia	29.82
52	Australia	29.13
53	Saudi Arabia	29.05
54	Philippines	28.95
55	Botswana	28.69
56	Ukraine	28.35
57	Morocco	28.27
58	Bahamas	27.77
59	Argentina	27.71
60	Cyprus	27.68
61	Tunisia	27.57
62	Cabo Verde	27.10
63	Estonia	26.90
64	Serbia	26.84
65	Senegal	26.81
66	Portugal	26.52
67	Croatia	25.61
68	Greece	25.38
69	Bahrain	24.63
70	South Africa	24.43
71	Colombia	24.19
72	New Zealand	23.82
73	Luxembourg	23.61
74	Pakistan	22.90
75	Guatemala	22.40
76	Paraguay	21.83
77	Syria	21.52
78	Latvia	20.93
79	Chile	20.37
80	Jordan	20.06
81	Belarus	19.82
82	El Salvador	19.13
83	Moldova	18.86
84	Egypt	18.79
85	Jamaica	18.77
86	Belize	18.46
87	Niger	18.25
88	Uruguay	18.23
89	Azerbaijan	17.96
90	Uzbekistan	17.63
91	Kazakhstan	17.52
92	Bosnia and Herzegovina	16.92
93	Cuba	16.22
94	Ethiopia	16.07
95	Libya	16.06
96	Kenya	15.05
97	Côte d'Ivoire	14.99
98	Montenegro	14.86
99	Lebanon	14.56
100	Costa Rica	14.16
101	Iceland	13.90
102	Ecuador	13.89
103	Peru	13.53
104	Georgia	13.06
105	Nicaragua	13.03
106	Papua New Guinea	12.61
107	Bolivia	11.94
108	Suriname	11.53
109	Uganda	11.07
110	Mozambique	10.89
111	Ghana	10.84
112	Nepal	10.52
113	Eritrea	10.20
114	Zambia	9.73
115	Zimbabwe	9.59
116	Central African Republic	9.25
117	Sri Lanka	9.02
118	Fiji	8.53
119	Afghanistan	8.46
120	Macao	7.96
121	Saint Lucia	7.83
122	Bangladesh	7.81
123	Bermuda	7.71
124	Cameroon	7.61
125	Palestine	7.21
126	Rwanda	7.20
127	Honduras	7.16
128	Tanzania	6.64
129	Panama	6.48
130	Armenia	6.45
131	Gabon	5.39
132	Namibia	5.34
133	Haiti	5.26
134	Iraq	5.25
135	Mauritius	5.24
136	Albania	5.23
137	Mongolia	4.30
138	Gambia	3.90
139	Laos	3.77
140	Malawi	3.67
141	Angola	3.56
142	Brunei	3.32
143	Tajikistan	2.82
144	Burundi	2.79
145	Algeria	2.69
146	Maldives	2.63
147	Republic of Congo	2.42
148	Kyrgyzstan	2.27
149	Eswatini	2.23
150	Yemen	2.06
151	Tonga	1.61
152	Madagascar	1.04
153	Cambodia	0.26

Analysis

This metric measures the proportion of medium and high-tech industry value added in total value added of manufacturing. It is expressed as a percentage, where a higher share indicates a greater concentration of technologically intensive production within a country's manufacturing sector. The data come from the World Bank World Development Indicators, indicator code NV.MNF.TECH.ZS.UN, for the reference year 2022. The dataset covers 153 countries, all with data from the last seven years, and 100% of datapoints are classified as official-quality. The ranking spans a range of 0.26% to 92.58%, a spread of over 35,000%, and 14 extreme outliers were identified at the 3-sigma threshold. Average year-over-year change across the dataset is 7.3%.

The top of the ranking is dominated by high-income economies with established technology-intensive manufacturing bases. Singapore ranks 2nd at 82.33%, Switzerland 3rd at 71.37%, and Korea 4th at 65.57%. Germany (6th, 57.92%), Japan (8th, 54.67%), and the United States (22nd, 44.08%) also appear in the upper tier. Several European economies cluster between 45% and 55%, including Hungary (11th, 51.51%), Belgium (12th, 51.23%), France (13th, 50.39%), Sweden (14th, 49.93%), and Czechia (15th, 49.91%). India (25th, 41.56%) and China (26th, 41.45%) are the largest developing economies near the top half.

Several placements in the middle and lower ranks are notable. Nigeria ranks 45th at 33.44%, placing it above Poland (46th, 32.99%) and Canada (48th, 31.94%). Qatar ranks 5th at 62.46% and Oman ranks 20th at 45.02%, both well above most larger industrialized economies. At the lower end, Bangladesh ranks 122nd at 7.81% despite being a major global garment exporter, reflecting that garment production is classified as low-tech. Sri Lanka ranks 117th at 9.02% and Cambodia ranks last at 0.26%, consistent with their concentrations in low-tech textile and footwear manufacturing. Iceland ranks 101st at 13.90%, below many lower-income countries.

Several limitations apply to this metric. The classification of industries as medium or high-tech follows a standardized taxonomy, but the boundaries between categories can affect country scores, particularly for countries with mixed industrial profiles. Value added shares reflect the composition of manufacturing, not its absolute size, so a country with a small but specialized manufacturing sector can score very high. Myanmar's rank of 1st at 92.58% is flagged as an extreme outlier and may reflect a narrow manufacturing base dominated by one or a few technology-classified subsectors rather than broad industrial development. Cross-country comparability may also be affected by differences in national accounting methods and the granularity of industry classification systems.

Methodology

The metric is sourced from the World Bank World Development Indicators, indicator code NV.MNF.TECH.ZS.UN, with a reference year of 2022. The definition used is: the proportion of medium and high-tech industry value added in total value added of manufacturing. The unit is percentage share. The dataset covers 153 countries, all of which have data from within the last seven years (100% recency), and all datapoints are classified as official quality (100%). The data range runs from 0.26% (Cambodia) to 92.58% (Myanmar), a spread of 35,571.9%. Viability checks identified 14 extreme outliers at the 3-sigma threshold, including Myanmar at rank 1. Average year-over-year change across the dataset is 7.3%, well within the 50% volatility threshold. Rankings reflect manufacturing composition, not manufacturing scale, which limits direct comparability across economies of different sizes.

Sources

World Bank