Low Birth Weight Prevalence 2008
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 | 30.517 % | |
2 | Bangladesh | 24.717 % | |
3 | Comoros | 24.641 % | |
4 | Guinea-Bissau | 22.728 % | |
5 | Nepal | 21.611 % | |
6 | Philippines | 21.052 % | |
7 | Senegal | 19.935 % | |
8 | Liberia | 19.755 % | |
9 | Madagascar | 19.632 % | |
10 | Mauritius | 19.453 % | |
11 | Burkina Faso | 19.42 % | |
12 | Côte d'Ivoire | 19.31 % | |
13 | Sri Lanka | 18.852 % | |
14 | Papua New Guinea | 18.666 % | |
15 | Mozambique | 18.636 % | |
16 | Benin | 17.92 % | |
17 | Botswana | 17.871 % | |
18 | Laos | 17.305 % | |
19 | Timor-Leste | 16.992 % | |
20 | Morocco | 16.869 % | |
21 | South Africa | 16.788 % | |
22 | Guyana | 16.761 % | |
23 | Namibia | 16.177 % | |
24 | Jordan | 16.068 % | |
25 | Angola | 16.053 % | |
26 | Malawi | 15.93 % | |
27 | Central African Republic | 15.607 % | |
28 | Trinidad and Tobago | 15.579 % | |
29 | Eritrea | 15.522 % | |
30 | Togo | 15.509 % | |
31 | Saint Lucia | 15.48 % | |
32 | Ghana | 15.347 % | |
33 | Burundi | 15.286 % | |
34 | Suriname | 15.174 % | |
35 | Gabon | 15.117 % | |
36 | Bahamas | 15.023 % | |
37 | Lesotho | 14.778 % | |
38 | Antigua and Barbuda | 14.757 % | |
39 | Turkey | 14.638 % | |
40 | Jamaica | 14.539 % | |
41 | Guatemala | 14.249 % | |
42 | Gambia | 13.943 % | |
43 | Maldives | 13.797 % | |
44 | Palau | 13.669 % | |
45 | United Arab Emirates | 13.408 % | |
46 | Oman | 13.344 % | |
47 | Cambodia | 13.24 % | |
48 | Solomon Islands | 13.174 % | |
49 | Cameroon | 13.017 % | |
50 | Brunei Darussalam | 12.886 % | |
51 | Zimbabwe | 12.67 % | |
52 | Malaysia | 12.638 % | |
53 | Myanmar | 12.574 % | |
54 | Vanuatu | 12.529 % | |
55 | Zambia | 12.384 % | |
56 | Seychelles | 12.248 % | |
57 | Lebanon | 12.2 % | |
58 | Sierra Leone | 12.086 % | |
59 | Congo | 12.079 % | |
60 | Honduras | 12.054 % | |
61 | Bhutan | 11.786 % | |
62 | Kuwait | 11.573 % | |
63 | Congo, Democratic Republic of the | 11.533 % | |
64 | Dominican Republic | 11.467 % | |
65 | Ecuador | 11.151 % | |
66 | Bahrain | 11.097 % | |
67 | Panama | 11.094 % | |
68 | Belize | 11.071 % | |
69 | Japan | 11.016 % | |
70 | Kenya | 11.004 % | |
71 | Nicaragua | 11 % | |
72 | Tanzania | 10.97 % | |
73 | Azerbaijan | 10.947 % | |
74 | Eswatini | 10.709 % | |
75 | Bulgaria | 10.671 % | |
76 | Indonesia | 10.654 % | |
77 | Iraq | 10.636 % | |
78 | Thailand | 10.631 % | |
79 | Singapore | 10.586 % | |
80 | Sao Tome and Principe | 10.474 % | |
81 | El Salvador | 10.453 % | |
82 | Greece | 10.433 % | |
83 | Colombia | 10.23 % | |
84 | Mexico | 10.12 % | |
85 | Paraguay | 10.046 % | |
86 | Qatar | 9.859 % | |
87 | Romania | 9.725 % | |
88 | State of Palestine | 9.593 % | |
89 | Israel | 9.582 % | |
90 | Tajikistan | 9.559 % | |
91 | Kiribati | 9.397 % | |
92 | Spain | 9.213 % | |
93 | Rwanda | 9.046 % | |
94 | Peru | 8.943 % | |
95 | Andorra | 8.933 % | |
96 | Venezuela | 8.905 % | |
97 | Bolivia | 8.51 % | |
98 | Costa Rica | 8.435 % | |
99 | Vietnam | 8.404 % | |
100 | Hungary | 8.395 % | |
101 | Brazil | 8.252 % | |
102 | Armenia | 8.203 % | |
103 | Uruguay | 8.192 % | |
104 | North Macedonia | 8.121 % | |
105 | United States | 8.058 % | |
106 | Tunisia | 7.987 % | |
107 | Portugal | 7.948 % | |
108 | France | 7.55 % | |
109 | Fiji | 7.391 % | |
110 | Slovakia | 7.309 % | |
111 | Argentina | 7.29 % | |
112 | United Kingdom | 7.232 % | |
113 | Luxembourg | 7.23 % | |
114 | Russia | 7.228 % | |
115 | Monaco | 7.199 % | |
116 | Cuba | 7.159 % | |
117 | Belgium | 7.035 % | |
118 | Czech Republic | 7.019 % | |
119 | Italy | 6.874 % | |
120 | Malta | 6.836 % | |
121 | Algeria | 6.82 % | |
122 | Germany | 6.806 % | |
123 | Austria | 6.781 % | |
124 | Georgia | 6.678 % | |
125 | Kyrgyzstan | 6.622 % | |
126 | Republic of Moldova | 6.49 % | |
127 | Montenegro | 6.382 % | |
128 | Mongolia | 6.354 % | |
129 | Switzerland | 6.342 % | |
130 | Australia | 6.326 % | |
131 | Netherlands | 6.286 % | |
132 | New Zealand | 6.069 % | |
133 | Canada | 6.04 % | |
134 | Slovenia | 6.031 % | |
135 | Albania | 5.972 % | |
136 | Serbia | 5.934 % | |
137 | Ukraine | 5.931 % | |
138 | Kazakhstan | 5.926 % | |
139 | Chile | 5.826 % | |
140 | Poland | 5.825 % | |
141 | South Korea | 5.759 % | |
142 | Uzbekistan | 5.732 % | |
143 | China | 5.271 % | |
144 | Turkmenistan | 5.21 % | |
145 | Denmark | 5.203 % | |
146 | Ireland | 5.166 % | |
147 | Bosnia and Herzegovina | 5.122 % | |
148 | Belarus | 5.046 % | |
149 | Croatia | 4.97 % | |
150 | Norway | 4.839 % | |
151 | Lithuania | 4.659 % | |
152 | Latvia | 4.649 % | |
153 | Estonia | 4.4 % | |
154 | Sweden | 4.233 % | |
155 | Finland | 4.136 % | |
156 | San Marino | 3.953 % | |
157 | Iceland | 3.738 % |
- #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
Latvia
- #151
Lithuania
- #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
In 2008, India recorded the highest Low Birth Weight Prevalence at 30.52%, while the global range for this metric spanned from 3.74% to 30.52%. The global average for low birth weight prevalence was 11.08%, providing a critical benchmark for assessing individual country performance.
Economic and Health Infrastructure Impacts on Low Birth Weight
The prevalence of low birth weight in countries such as India at 30.52%, Bangladesh at 24.72%, and Comoros at 24.64% highlights significant disparities often linked to economic and health infrastructure challenges. These nations frequently encounter issues such as inadequate maternal healthcare, malnutrition, and limited access to prenatal care. Such conditions are exacerbated in regions with insufficient healthcare funding, leading to higher incidences of low birth weight.
Conversely, countries with robust healthcare systems, such as Iceland at 3.74% and San Marino at 3.95%, showcase the effectiveness of comprehensive prenatal care and nutritional programs. These countries benefit from extensive healthcare networks that support maternal health, thereby reducing the prevalence of low birth weight babies.
Geographical and Socioeconomic Factors
Geographical and socioeconomic factors also play a crucial role in the prevalence of low birth weight. In Sub-Saharan Africa, countries like Guinea-Bissau with a prevalence of 22.73% and Senegal at 19.93% demonstrate higher rates, often attributed to rural populations and limited healthcare access. The geographical isolation and socio-economic status in these regions impede access to healthcare facilities, contributing to higher incidences of low birth weight.
In contrast, Nordic countries such as Finland with 4.14% and Sweden at 4.23% benefit from centralized healthcare systems and higher socioeconomic standards, ensuring better maternal care and nutrition.
Year-over-Year Trends and Changes
Analyzing year-over-year changes, the data indicates a slight average decrease of -0.01% globally, reflecting incremental improvements. Notable decreases were observed in Timor-Leste with a -1.8% change and India with -0.8%, signifying efforts in these regions to improve maternal health services and nutrition programs.
Conversely, countries like Kuwait experienced a +1.7% increase, possibly due to lifestyle changes and healthcare challenges. Jordan and the United Arab Emirates also saw increases, indicating areas where healthcare policy improvements may be necessary to reverse this trend.
Policy Implications and Future Directions
Addressing low birth weight prevalence requires targeted policy interventions focusing on maternal health improvement and poverty alleviation. Nations with high prevalence rates, such as Nepal at 21.61% and Philippines at 21.05%, need to prioritize healthcare access and education to reduce these statistics.
- Investing in maternal nutrition programs can directly impact birth weights.
- Enhancing healthcare infrastructure in rural and underserved areas will improve prenatal care availability.
- Policy shifts towards integrated healthcare systems can bridge gaps in maternal health services.
Ultimately, reducing low birth weight prevalence is critical for improving infant health outcomes and long-term developmental prospects, necessitating a multifaceted approach tailored to each country's unique challenges.
Frequently Asked Questions About Low Birth Weight Prevalence in 2008
Which country had the highest prevalence of low birth weight in 2008?
India had the highest prevalence of low birth weight in 2008, with 30.52% of newborns weighing less than 2,500 grams.
Which country had the lowest prevalence of low birth weight in 2008?
Iceland had the lowest prevalence of low birth weight in 2008, with 3.74% of newborns weighing less than 2,500 grams.
What was the average prevalence of low birth weight across countries in 2008?
The average prevalence of low birth weight across the 157 countries in 2008 was 11.08%.
What was the median prevalence of low birth weight in 2008?
The median prevalence of low birth weight in 2008 was 10.59%.
Which countries were in the top 3 for low birth weight prevalence in 2008?
The top 3 countries for low birth weight prevalence in 2008 were India (30.52%), Bangladesh (24.72%), and Comoros (24.64%).
What is the range of low birth weight prevalence among countries in 2008?
The range of low birth weight prevalence among countries in 2008 was from 3.74% in Iceland to 30.52% in India.
Insights by country
Colombia
In 2008, Colombia had a Low Birth Weight Prevalence of 10.230216 %, ranking #83 out of 157 countries. This prevalence is notably higher than the global average, indicating significant public health challenges. Factors contributing to this statistic include socioeconomic disparities, limited access to healthcare in rural areas, and maternal nutrition issues, which are prevalent in various regions of Colombia.
Morocco
In 2008, Morocco ranked #20 globally for Low Birth Weight Prevalence, with a rate of 16.868866 %. This prevalence is notably higher than the global average, indicating significant health challenges within the country. Key drivers for this statistic include limited access to quality prenatal care and socioeconomic factors that affect maternal nutrition and health.
Latvia
In 2008, Latvia had a Low Birth Weight Prevalence of 4.6487126 %, ranking #152 out of 157 countries. This figure is notably higher than the global average, indicating significant public health challenges. Contributing factors include Latvia's economic difficulties post-independence, which have affected maternal health services, and demographic trends such as a declining birth rate and an aging population.
Monaco
In 2008, Monaco reported a Low Birth Weight Prevalence of 7.1990438 %, ranking #115 out of 157 countries. This prevalence is notably higher than the global average, indicating potential health challenges within its population. Contributing factors include Monaco's unique demographic profile, characterized by a high proportion of older parents and limited space for healthcare facilities, which may impact prenatal care accessibility.
Luxembourg
In 2008, Luxembourg had a Low Birth Weight Prevalence of 7.2299337 %, ranking #113 out of 157 countries. This figure is higher than the global average, indicating challenges in maternal and infant health. Contributing factors include Luxembourg's high levels of economic prosperity, which may lead to lifestyle choices affecting prenatal care, and a diverse population that may experience varying health outcomes.
Denmark
In 2008, Denmark had a Low Birth Weight Prevalence of 5.202848 %, ranking #145 out of 157 countries. This rate is notably higher than the global average, indicating potential health concerns for newborns in the country. Factors contributing to this prevalence include Denmark's high rates of cesarean deliveries and maternal age, as well as socioeconomic conditions that can affect prenatal care and health outcomes.
Malaysia
In 2008, Malaysia recorded a Low Birth Weight Prevalence of 12.638466 %, ranking #52 out of 157 countries. This figure is notably higher than the global average, indicating a significant public health concern. Contributing factors include socioeconomic disparities, maternal nutrition, and access to prenatal care, which can affect birth outcomes. Additionally, urbanization and lifestyle changes have impacted maternal health, further influencing low birth weight rates in the country.
Kuwait
Kuwait ranked #62 globally for Low Birth Weight Prevalence in 2008, with a rate of 11.572599 %. This figure is higher than the global average, indicating potential health challenges in maternal and infant care. Contributing factors include Kuwait's rapid urbanization and lifestyle changes, which can impact prenatal health, as well as a reliance on imported healthcare solutions that may not fully address local needs.
Jamaica
In 2008, Jamaica had a Low Birth Weight Prevalence of 14.53946 %, ranking #40 out of 157 countries. This figure is notably higher than the global average, indicating significant public health challenges. Contributing factors include limited access to prenatal care, socio-economic disparities, and maternal nutrition issues, all of which impact birth outcomes in the country.
Japan
In 2008, Japan had a Low Birth Weight Prevalence of 11.015884 %, ranking #69 out of 157 countries. This figure is notably higher than the global average, indicating potential health concerns among newborns. Contributing factors include Japan's aging population and low fertility rates, which can lead to increased instances of low birth weight due to maternal health challenges and socioeconomic pressures.
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.