Low Birth Weight Prevalence 2007
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 | 30.777 % | |
2 | Bangladesh | 24.85 % | |
3 | Comoros | 24.766 % | |
4 | Guinea-Bissau | 22.966 % | |
5 | Nepal | 21.781 % | |
6 | Philippines | 21.019 % | |
7 | Senegal | 20.182 % | |
8 | Liberia | 19.788 % | |
9 | Madagascar | 19.69 % | |
10 | Mauritius | 19.507 % | |
11 | Burkina Faso | 19.499 % | |
12 | Côte d'Ivoire | 19.326 % | |
13 | Sri Lanka | 18.943 % | |
14 | Mozambique | 18.769 % | |
15 | Papua New Guinea | 18.582 % | |
16 | Benin | 18.037 % | |
17 | Botswana | 17.996 % | |
18 | Laos | 17.331 % | |
19 | Timor-Leste | 17.297 % | |
20 | Morocco | 17.071 % | |
21 | South Africa | 16.849 % | |
22 | Guyana | 16.688 % | |
23 | Namibia | 16.204 % | |
24 | Angola | 16.172 % | |
25 | Malawi | 16.005 % | |
26 | Jordan | 15.9 % | |
27 | Togo | 15.582 % | |
28 | Eritrea | 15.577 % | |
29 | Central African Republic | 15.576 % | |
30 | Trinidad and Tobago | 15.499 % | |
31 | Ghana | 15.455 % | |
32 | Burundi | 15.339 % | |
33 | Saint Lucia | 15.328 % | |
34 | Gabon | 15.099 % | |
35 | Suriname | 15.05 % | |
36 | Bahamas | 14.954 % | |
37 | Lesotho | 14.791 % | |
38 | Turkey | 14.753 % | |
39 | Antigua and Barbuda | 14.673 % | |
40 | Jamaica | 14.572 % | |
41 | Guatemala | 14.21 % | |
42 | Gambia | 14.022 % | |
43 | Maldives | 13.795 % | |
44 | Palau | 13.656 % | |
45 | Cambodia | 13.384 % | |
46 | Oman | 13.363 % | |
47 | United Arab Emirates | 13.253 % | |
48 | Solomon Islands | 13.15 % | |
49 | Cameroon | 13.055 % | |
50 | Brunei Darussalam | 12.798 % | |
51 | Zimbabwe | 12.744 % | |
52 | Malaysia | 12.548 % | |
53 | Myanmar | 12.521 % | |
54 | Vanuatu | 12.476 % | |
55 | Zambia | 12.474 % | |
56 | Sierra Leone | 12.281 % | |
57 | Lebanon | 12.254 % | |
58 | Seychelles | 12.233 % | |
59 | Congo | 12.203 % | |
60 | Honduras | 11.953 % | |
61 | Bhutan | 11.826 % | |
62 | Congo, Democratic Republic of the | 11.654 % | |
63 | Kuwait | 11.379 % | |
64 | Dominican Republic | 11.316 % | |
65 | Ecuador | 11.197 % | |
66 | Panama | 11.184 % | |
67 | Tanzania | 11.086 % | |
68 | Kenya | 11.078 % | |
69 | Nicaragua | 11.048 % | |
70 | Belize | 11.022 % | |
71 | Japan | 11.014 % | |
72 | Azerbaijan | 10.951 % | |
73 | Bahrain | 10.944 % | |
74 | Eswatini | 10.731 % | |
75 | Indonesia | 10.676 % | |
76 | Thailand | 10.674 % | |
77 | Bulgaria | 10.626 % | |
78 | Iraq | 10.61 % | |
79 | Singapore | 10.561 % | |
80 | El Salvador | 10.462 % | |
81 | Sao Tome and Principe | 10.426 % | |
82 | Greece | 10.336 % | |
83 | Colombia | 10.16 % | |
84 | Mexico | 10.095 % | |
85 | Paraguay | 10.059 % | |
86 | Qatar | 9.862 % | |
87 | Romania | 9.825 % | |
88 | Tajikistan | 9.634 % | |
89 | Israel | 9.631 % | |
90 | State of Palestine | 9.527 % | |
91 | Kiribati | 9.374 % | |
92 | Spain | 9.148 % | |
93 | Peru | 9.108 % | |
94 | Rwanda | 8.991 % | |
95 | Venezuela | 8.895 % | |
96 | Andorra | 8.891 % | |
97 | Vietnam | 8.578 % | |
98 | Bolivia | 8.569 % | |
99 | Costa Rica | 8.422 % | |
100 | Hungary | 8.389 % | |
101 | Uruguay | 8.261 % | |
102 | Brazil | 8.231 % | |
103 | Armenia | 8.205 % | |
104 | North Macedonia | 8.123 % | |
105 | United States | 8.024 % | |
106 | Tunisia | 7.963 % | |
107 | Portugal | 7.849 % | |
108 | France | 7.559 % | |
109 | Fiji | 7.387 % | |
110 | Argentina | 7.333 % | |
111 | Slovakia | 7.285 % | |
112 | United Kingdom | 7.26 % | |
113 | Russia | 7.241 % | |
114 | Monaco | 7.207 % | |
115 | Luxembourg | 7.165 % | |
116 | Cuba | 7.148 % | |
117 | Belgium | 7.041 % | |
118 | Czech Republic | 6.951 % | |
119 | Italy | 6.821 % | |
120 | Algeria | 6.805 % | |
121 | Austria | 6.8 % | |
122 | Malta | 6.8 % | |
123 | Germany | 6.782 % | |
124 | Kyrgyzstan | 6.693 % | |
125 | Georgia | 6.595 % | |
126 | Mongolia | 6.507 % | |
127 | Republic of Moldova | 6.485 % | |
128 | Montenegro | 6.388 % | |
129 | Netherlands | 6.345 % | |
130 | Switzerland | 6.33 % | |
131 | Australia | 6.311 % | |
132 | New Zealand | 6.074 % | |
133 | Slovenia | 6.007 % | |
134 | Canada | 5.991 % | |
135 | Kazakhstan | 5.986 % | |
136 | Albania | 5.952 % | |
137 | Ukraine | 5.934 % | |
138 | Serbia | 5.915 % | |
139 | Poland | 5.846 % | |
140 | Chile | 5.758 % | |
141 | Uzbekistan | 5.707 % | |
142 | South Korea | 5.648 % | |
143 | China | 5.325 % | |
144 | Turkmenistan | 5.291 % | |
145 | Denmark | 5.229 % | |
146 | Bosnia and Herzegovina | 5.117 % | |
147 | Ireland | 5.081 % | |
148 | Belarus | 5.072 % | |
149 | Croatia | 4.962 % | |
150 | Norway | 4.864 % | |
151 | Latvia | 4.681 % | |
152 | Lithuania | 4.659 % | |
153 | Estonia | 4.376 % | |
154 | Sweden | 4.237 % | |
155 | Finland | 4.147 % | |
156 | San Marino | 3.937 % | |
157 | Iceland | 3.72 % |
- #1
India
- #2
Bangladesh
- #3
Comoros
- #4
Guinea-Bissau
- #5
Nepal
- #6
Philippines
- #7
Senegal
- #8
Liberia
- #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
San Marino
- #155
Finland
- #154
Sweden
- #153
Estonia
- #152
Lithuania
- #151
Latvia
- #150
Norway
- #149
Croatia
- #148
Belarus
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
India had the highest Low Birth Weight Prevalence in 2007 at 30.78%, while the range among countries spanned from 3.72% to 30.78%. Globally, the average prevalence was 11.10%, providing a critical benchmark for understanding regional disparities in newborn health.
Socioeconomic Factors Influencing Low Birth Weight
Low birth weight is a multifaceted health issue often linked to socioeconomic conditions. In India and Bangladesh, where low birth weight prevalence is among the highest at 30.78% and 24.85% respectively, factors such as poverty, inadequate maternal nutrition, and limited access to prenatal care play significant roles. These countries face challenges in healthcare infrastructure that affect maternal and infant health outcomes.
Conversely, Iceland and San Marino showcase the lowest prevalence rates at 3.72% and 3.94%. These countries benefit from robust healthcare systems, comprehensive maternal health programs, and higher socioeconomic stability, which contribute to better maternal and infant health outcomes. The stark contrast between these regions underscores the impact of socioeconomic development on health metrics.
Geographic and Policy Impacts
Geographic and policy factors also influence low birth weight statistics. Comoros and Guinea-Bissau, with prevalence rates of 24.77% and 22.97% respectively, highlight the challenges faced by island and sub-Saharan African nations. These areas often experience logistical difficulties in healthcare delivery and face environmental stressors that exacerbate health vulnerabilities.
In contrast, Nordic countries like Sweden and Finland, with rates of 4.24% and 4.15%, benefit from comprehensive welfare policies that ensure widespread access to healthcare services. Their policies emphasize preventive care and early intervention, essential components in reducing low birth weight prevalence.
Year-over-Year Trends and Changes
Examining year-over-year changes provides insights into dynamic shifts in health outcomes. Timor-Leste saw the most significant decrease in low birth weight prevalence, dropping by 0.37% or 2.1% year-over-year. This improvement may reflect increased healthcare access and maternal health initiatives. Similarly, India and Senegal both experienced decreases of 0.27%, indicating progress in addressing maternal and infant health issues.
Conversely, Kuwait experienced the largest increase, with a rise of 0.19% or 1.7%, suggesting potential areas for policy review and intervention. Other countries like Jordan and Saint Lucia also saw increases, highlighting the need for targeted health policies to address rising trends.
Regional Patterns and Implications
Regional patterns in low birth weight prevalence reveal underlying health disparities. South Asia, represented by countries such as India and Nepal with a prevalence of 21.78%, consistently shows higher rates, driven by factors like high population density and limited healthcare resources. In contrast, Northern Europe, with countries like Norway and Estonia showing rates of 4.86% and 4.38%, benefits from advanced healthcare systems and lower poverty rates.
The implications of these disparities are profound, affecting infant mortality rates, long-term health outcomes, and economic development. Addressing low birth weight requires a multi-pronged approach, combining healthcare improvements, policy interventions, and socioeconomic development to create sustainable health environments.
Frequently Asked Questions About Low Birth Weight Prevalence in 2007
Which country had the highest prevalence of low birth weight in 2007?
India had the highest prevalence of low birth weight in 2007, with 30.78% of newborns weighing less than 2,500 grams.
Which country had the lowest prevalence of low birth weight in 2007?
Iceland had the lowest prevalence of low birth weight in 2007, with 3.72% of newborns weighing less than 2,500 grams.
What was the average prevalence of low birth weight across all countries in 2007?
The average prevalence of low birth weight across all countries in 2007 was 11.1%.
What was the median prevalence of low birth weight in 2007?
The median prevalence of low birth weight in 2007 was 10.56%.
Which countries were in the top 3 for low birth weight prevalence in 2007?
The top 3 countries for low birth weight prevalence in 2007 were India (30.78%), Bangladesh (24.85%), and Comoros (24.77%).
How many countries were included in the low birth weight prevalence dataset for 2007?
The dataset for low birth weight prevalence in 2007 included 157 countries.
Insights by country
Madagascar
In 2007, Madagascar had a Low Birth Weight Prevalence of 19.69024 %, ranking #9 out of 157 countries. This figure is notably higher than the global average, indicating significant public health challenges. Contributing factors include high rates of malnutrition among pregnant women and limited access to quality prenatal care, which are exacerbated by the country's economic struggles and healthcare infrastructure issues.
Palau
In 2007, Palau had a Low Birth Weight Prevalence of 13.655673 %, ranking #44 out of 157 countries. This figure is notably higher than the global average, indicating potential health challenges within the population. Contributing factors include limited access to comprehensive prenatal care and the economic implications of a small island nation, which can affect maternal health resources and education.
Qatar
In 2007, Qatar had a Low Birth Weight Prevalence of 9.862172 %, ranking #86 out of 157 countries. This prevalence is higher than the global average, indicating potential health challenges within the population. Contributing factors include rapid economic development, which may affect maternal health and nutrition, as well as a relatively high rate of premature births linked to advanced medical interventions.
Luxembourg
In 2007, Luxembourg's Low Birth Weight Prevalence was 7.164974 %, ranking #115 out of 157 countries. This figure is higher than the global average, indicating potential health concerns in maternal and infant care. Contributing factors may include the country's demographic trends, such as a diverse population and varying access to healthcare services, which can affect birth outcomes.
Nicaragua
Nicaragua reported a Low Birth Weight Prevalence of 11.0478325 % in 2007, ranking #69 out of 157 countries. This figure is higher than the regional average in Central America, indicating significant health challenges. Contributing factors include limited access to healthcare services, high rates of poverty, and nutritional deficiencies among pregnant women, which are critical issues in the country.
Lesotho
In 2007, Lesotho had a Low Birth Weight Prevalence of 14.791024 %, ranking #37 out of 157 countries. This figure is notably higher than the global average, indicating significant health challenges. Contributing factors include high rates of maternal malnutrition and a prevalence of HIV/AIDS, which adversely affect pregnancy outcomes in the country.
Netherlands
In 2007, the Netherlands had a Low Birth Weight Prevalence of 6.344682 %, ranking #129 out of 157 countries. This figure is notably higher than the global average, indicating potential health challenges for newborns. Contributing factors include the country's high rate of maternal smoking and varying socioeconomic conditions, which can impact prenatal care and overall maternal health.
Malaysia
In 2007, Malaysia had a Low Birth Weight Prevalence of 12.547959 %, ranking #52 out of 157 countries. This prevalence is notably higher than many of its Southeast Asian neighbors, indicating potential health challenges within the region. Contributing factors include socioeconomic disparities, access to maternal healthcare, and nutritional issues among pregnant women, which can lead to adverse birth outcomes.
Oman
In 2007, Oman had a Low Birth Weight Prevalence of 13.362508 %, ranking #46 out of 157 countries. This rate is higher than the global average, indicating potential health challenges within the population. Contributing factors include limited access to prenatal care in some areas and socio-economic disparities that affect maternal health. Additionally, Oman’s rapid modernization may strain traditional healthcare systems, impacting birth outcomes.
Maldives
In 2007, Maldives had a Low Birth Weight Prevalence of 13.794843 %, ranking #43 out of 157 countries. This figure is notably higher than the global average, indicating potential health challenges within the population. Contributing factors include limited access to healthcare services in remote islands and nutritional deficiencies among pregnant women, exacerbated by economic constraints and reliance on imported food.
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.