Low Birth Weight Prevalence 2017
Low birth weight prevalence shows the percentage of newborns weighing less than 2,500 grams at birth.
Interactive Map
Complete Data Rankings
Rank | Actions | ||
|---|---|---|---|
1 | India | 28.086 % | |
2 | Comoros | 23.471 % | |
3 | Bangladesh | 23.47 % | |
4 | Philippines | 21.089 % | |
5 | Guinea-Bissau | 20.429 % | |
6 | Nepal | 20.125 % | |
7 | Liberia | 19.808 % | |
8 | Papua New Guinea | 19.295 % | |
9 | Madagascar | 19.043 % | |
10 | Mauritius | 18.791 % | |
11 | Burkina Faso | 18.681 % | |
12 | Côte d'Ivoire | 18.533 % | |
13 | Timor-Leste | 18.169 % | |
14 | Jordan | 18.134 % | |
15 | Sri Lanka | 18.129 % | |
16 | Senegal | 17.987 % | |
17 | Mozambique | 17.847 % | |
18 | Guyana | 17.148 % | |
19 | Botswana | 16.968 % | |
20 | Laos | 16.941 % | |
21 | Benin | 16.839 % | |
22 | South Africa | 16.628 % | |
23 | Central African Republic | 16.363 % | |
24 | Trinidad and Tobago | 16.232 % | |
25 | Suriname | 16.192 % | |
26 | Saint Lucia | 16.19 % | |
27 | Malawi | 15.755 % | |
28 | Namibia | 15.627 % | |
29 | Angola | 15.531 % | |
30 | Bahamas | 15.423 % | |
31 | Antigua and Barbuda | 15.315 % | |
32 | Morocco | 15.253 % | |
33 | Eritrea | 15.243 % | |
34 | Burundi | 14.916 % | |
35 | Gabon | 14.68 % | |
36 | Lesotho | 14.636 % | |
37 | Ghana | 14.56 % | |
38 | Togo | 14.535 % | |
39 | Guatemala | 14.484 % | |
40 | Jamaica | 13.964 % | |
41 | United Arab Emirates | 13.935 % | |
42 | Maldives | 13.779 % | |
43 | Kuwait | 13.66 % | |
44 | Palau | 13.547 % | |
45 | Brunei Darussalam | 13.507 % | |
46 | Malaysia | 13.47 % | |
47 | Gambia | 13.454 % | |
48 | Turkey | 13.245 % | |
49 | Oman | 13.238 % | |
50 | Solomon Islands | 13.23 % | |
51 | Vanuatu | 12.992 % | |
52 | Honduras | 12.894 % | |
53 | Dominican Republic | 12.872 % | |
54 | Cameroon | 12.627 % | |
55 | Myanmar | 12.512 % | |
56 | Lebanon | 12.474 % | |
57 | Seychelles | 12.406 % | |
58 | Bahrain | 12.094 % | |
59 | Zimbabwe | 12.015 % | |
60 | Cambodia | 11.886 % | |
61 | Congo | 11.687 % | |
62 | Zambia | 11.569 % | |
63 | Bhutan | 11.524 % | |
64 | Belize | 11.461 % | |
65 | Greece | 11.298 % | |
66 | Bulgaria | 11.233 % | |
67 | Japan | 11.16 % | |
68 | Azerbaijan | 11.047 % | |
69 | Sao Tome and Principe | 10.924 % | |
70 | Iraq | 10.851 % | |
71 | Singapore | 10.795 % | |
72 | Sierra Leone | 10.792 % | |
73 | Colombia | 10.758 % | |
74 | Ecuador | 10.724 % | |
75 | Congo, Democratic Republic of the | 10.428 % | |
76 | Panama | 10.391 % | |
77 | Thailand | 10.383 % | |
78 | Eswatini | 10.357 % | |
79 | Kenya | 10.336 % | |
80 | Nicaragua | 10.294 % | |
81 | El Salvador | 10.27 % | |
82 | State of Palestine | 10.161 % | |
83 | Mexico | 10.154 % | |
84 | Indonesia | 10.107 % | |
85 | Paraguay | 9.953 % | |
86 | Tanzania | 9.95 % | |
87 | Qatar | 9.946 % | |
88 | Spain | 9.603 % | |
89 | Rwanda | 9.369 % | |
90 | Andorra | 9.311 % | |
91 | Venezuela | 9.152 % | |
92 | Israel | 9.123 % | |
93 | Romania | 9.088 % | |
94 | Kiribati | 9.03 % | |
95 | Tajikistan | 8.944 % | |
96 | Portugal | 8.729 % | |
97 | Costa Rica | 8.615 % | |
98 | Brazil | 8.602 % | |
99 | Hungary | 8.376 % | |
100 | Armenia | 8.298 % | |
101 | North Macedonia | 8.253 % | |
102 | United States | 8.204 % | |
103 | Tunisia | 8.188 % | |
104 | Bolivia | 8.047 % | |
105 | Uruguay | 7.869 % | |
106 | Peru | 7.764 % | |
107 | Slovakia | 7.704 % | |
108 | Luxembourg | 7.666 % | |
109 | Czech Republic | 7.521 % | |
110 | France | 7.481 % | |
111 | Fiji | 7.42 % | |
112 | Argentina | 7.331 % | |
113 | Russia | 7.292 % | |
114 | Georgia | 7.222 % | |
115 | Italy | 7.196 % | |
116 | Cuba | 7.13 % | |
117 | Malta | 7.091 % | |
118 | Algeria | 7.087 % | |
119 | South Korea | 6.973 % | |
120 | United Kingdom | 6.934 % | |
121 | Belgium | 6.841 % | |
122 | Monaco | 6.821 % | |
123 | Vietnam | 6.756 % | |
124 | Germany | 6.753 % | |
125 | Chile | 6.583 % | |
126 | Australia | 6.495 % | |
127 | Republic of Moldova | 6.494 % | |
128 | Canada | 6.475 % | |
129 | Austria | 6.458 % | |
130 | Switzerland | 6.404 % | |
131 | Slovenia | 6.28 % | |
132 | Montenegro | 6.276 % | |
133 | Kyrgyzstan | 6.16 % | |
134 | Serbia | 6.155 % | |
135 | Uzbekistan | 6.01 % | |
136 | Albania | 5.945 % | |
137 | New Zealand | 5.912 % | |
138 | Netherlands | 5.801 % | |
139 | Ukraine | 5.727 % | |
140 | Poland | 5.694 % | |
141 | Ireland | 5.54 % | |
142 | Kazakhstan | 5.426 % | |
143 | Mongolia | 5.179 % | |
144 | Bosnia and Herzegovina | 5.153 % | |
145 | Belarus | 5.106 % | |
146 | Croatia | 5.03 % | |
147 | China | 4.982 % | |
148 | Denmark | 4.9 % | |
149 | Lithuania | 4.66 % | |
150 | Norway | 4.536 % | |
151 | Turkmenistan | 4.519 % | |
152 | Latvia | 4.348 % | |
153 | San Marino | 4.207 % | |
154 | Estonia | 4.182 % | |
155 | Sweden | 4.157 % | |
156 | Finland | 4.111 % | |
157 | Iceland | 3.927 % |
- #1
India
- #2
Comoros
- #3
Bangladesh
- #4
Philippines
- #5
Guinea-Bissau
- #6
Nepal
- #7
Liberia
- #8
Papua New Guinea
- #9
Madagascar
- #10
Mauritius
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #157
Iceland
- #156
Finland
- #155
Sweden
- #154
Estonia
- #153
San Marino
- #152
Latvia
- #151
Turkmenistan
- #150
Norway
- #149
Lithuania
- #148
Denmark
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2017, the country with the highest Low Birth Weight Prevalence was India, with a staggering 28.09% of newborns weighing less than 2,500 grams. The global range for low birth weight prevalence spanned from a minimum of 3.93% in Iceland to this maximum in India. The global average for low birth weight prevalence stood at 10.97%, while the median value was 10.34%.
Economic and Demographic Factors Affecting Low Birth Weight Prevalence
The prevalence of low birth weight is significantly influenced by economic and demographic factors. Countries with higher rates, such as India (28.09%), Bangladesh (23.47%), and Nepal (20.13%), often face challenges related to poverty, malnutrition, and limited access to healthcare. These nations typically have large rural populations where prenatal care might be less accessible, contributing to higher rates of low birth weight.
Conversely, countries with lower prevalence rates, such as Iceland (3.93%), Finland (4.11%), and Sweden (4.16%), benefit from robust healthcare systems and high standards of living. These factors contribute to better maternal health and nutrition, reducing the likelihood of low birth weight.
Regional Disparities and Health Infrastructure
Geographic and infrastructural disparities also play a critical role in low birth weight statistics. In South Asia, the prevalence is notably high, with India and Bangladesh among the top contributors. The region's dense population and varying levels of healthcare access exacerbate this issue. In contrast, Northern European countries like Estonia (4.18%) and Latvia (4.35%) maintain low prevalence rates, reflecting their efficient healthcare infrastructure and emphasis on maternal health.
Moreover, island nations such as Comoros (23.47%) and Mauritius (18.79%) highlight how limited resources and geographic isolation can impact healthcare delivery, contributing to higher rates of low birth weight.
Year-over-Year Trends and Policy Implications
The year-over-year changes in low birth weight prevalence reveal critical insights into national health trends and policy impacts. While the average global change was a slight decrease of -0.02%, some countries experienced more significant shifts. Kuwait saw an increase of 0.25% (1.9%), possibly due to changes in healthcare policy or demographic shifts. Conversely, Guinea-Bissau experienced the largest decrease of -0.30% (-1.4%), suggesting improvements in healthcare access or maternal nutrition.
Countries like India and Bangladesh also reported decreases of -0.28% and -0.20%, respectively. These reductions, though modest, could reflect incremental improvements in healthcare infrastructure and maternal health initiatives. Policy interventions focusing on nutrition, healthcare access, and education could further influence these trends positively.
Implications for Global Health Policy
The data on low birth weight prevalence underscores the importance of targeted health policies and interventions. Countries with high prevalence rates must prioritize maternal health services and nutrition programs to combat the underlying causes of low birth weight. International collaborations and investments in healthcare infrastructure can play a pivotal role in addressing these challenges.
For countries with low prevalence rates, continued investment in healthcare and social services will be crucial to maintaining these outcomes. Sharing best practices and successful policy frameworks can aid nations struggling with higher prevalence rates, fostering a global effort to reduce low birth weight and improve neonatal health outcomes worldwide.
Frequently Asked Questions About Low Birth Weight Prevalence in 2017
Which country had the highest prevalence of low birth weight in 2017?
India had the highest prevalence of low birth weight in 2017, with 28.09%.
Which country had the lowest prevalence of low birth weight in 2017?
Iceland had the lowest prevalence of low birth weight in 2017, with 3.93%.
What was the average prevalence of low birth weight across countries in 2017?
The average prevalence of low birth weight across the 157 countries in 2017 was 10.97%.
What was the median prevalence of low birth weight in 2017?
The median prevalence of low birth weight in 2017 was 10.34%.
Which countries were in the top 3 for low birth weight prevalence in 2017?
The top 3 countries for low birth weight prevalence in 2017 were India (28.09%), Comoros (23.47%), and Bangladesh (23.47%).
How many countries were included in the dataset for low birth weight prevalence in 2017?
The dataset for low birth weight prevalence in 2017 included 157 countries.
Insights by country
Palau
In 2017, Palau had a Low Birth Weight Prevalence of 13.546643 %, ranking #44 out of 157 countries. This figure is higher than the global average, indicating potential health challenges within the population. Contributing factors include limited access to healthcare services and the economic reliance on tourism, which can impact maternal health resources and education.
Seychelles
Seychelles ranked #57 globally for Low Birth Weight Prevalence in 2017, with a rate of 12.406192 %. This figure is notably higher than the global average, reflecting challenges faced by the country in maternal and child health. Contributing factors include limited access to healthcare services in remote areas and socio-economic disparities that affect nutrition and prenatal care.
Azerbaijan
Azerbaijan ranked #68 globally in 2017 for Low Birth Weight Prevalence, with a rate of 11.0474825 %. This figure is higher than the global average, indicating potential health challenges within the country. Contributing factors include economic disparities, limited access to quality prenatal care, and socio-cultural influences affecting maternal health practices.
Iraq
Iraq's Low Birth Weight Prevalence was 10.851342 % in 2017, ranking it #70 out of 157 countries. This prevalence is higher than the global average, indicating potential health challenges in maternal and infant care. Contributing factors include ongoing economic instability, limited access to healthcare services, and the impact of conflict on public health infrastructure.
Canada
In 2017, Canada had a Low Birth Weight Prevalence of 6.475157 %, ranking #128 out of 157 countries. This figure is higher than the global average, indicating potential public health concerns. Contributing factors include socioeconomic disparities, access to prenatal care, and varying maternal health conditions across regions.
Sweden
In 2017, Sweden had a Low Birth Weight Prevalence of 4.156784 %, ranking #155 out of 157 countries. This figure is notably higher than the global average, indicating potential health challenges compared to other nations. Contributing factors in Sweden may include socioeconomic disparities and access to prenatal care, which can influence maternal health outcomes.
Armenia
In 2017, Armenia had a Low Birth Weight Prevalence of 8.298032 %, ranking #100 out of 157 countries. This rate is higher than the global average, indicating potential challenges in maternal and infant health. Contributing factors include economic constraints and limited access to healthcare services, which can affect prenatal care and nutrition among expectant mothers in Armenia.
Rwanda
In 2017, Rwanda had a Low Birth Weight Prevalence of 9.368544 %, ranking #89 out of 157 countries. This rate is lower than the global average, indicating relatively better maternal health outcomes compared to many nations. Key factors contributing to this statistic include improvements in healthcare access, maternal nutrition programs, and increased awareness of prenatal care in recent years.
China
In 2017, China had a Low Birth Weight Prevalence of 4.9818583 %, ranking #147 out of 157 countries. This figure is notably higher than the global average, indicating potential challenges in maternal and infant health. Contributing factors include rapid urbanization, which has led to increased stress and dietary changes among expectant mothers, alongside a legacy of strict family planning policies that may have impacted prenatal care access.
Belarus
In 2017, Belarus had a Low Birth Weight Prevalence of 5.1063952 %, ranking #145 out of 157 countries. This figure is notably higher than the global average, indicating potential public health concerns. Contributing factors to this prevalence include economic challenges, limited access to prenatal care, and demographic trends such as a declining birth rate, which can strain maternal health resources.
Data Source
Share of babies born with a low birthweight, 2020
Our World in Data is a research organization that provides comprehensive data and visualizations on global development issues, including health, education, and economic indicators. The dataset on the share of babies born with low birthweight in 2020 offers country-level statistics that highlight variations in maternal and infant health outcomes across different regions.
Visit Data SourceHistorical Data by Year
Explore Low Birth Weight Prevalence data across different years. Compare trends and see how statistics have changed over time.