Low Birth Weight Prevalence 2005
Low birth weight prevalence shows the percentage of newborns weighing less than 2,500 grams at birth.
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Complete Data Rankings
Rank | Actions | ||
|---|---|---|---|
1 | India | 31.317 % | |
2 | Bangladesh | 25.173 % | |
3 | Comoros | 24.974 % | |
4 | Guinea-Bissau | 23.405 % | |
5 | Nepal | 22.053 % | |
6 | Philippines | 20.949 % | |
7 | Senegal | 20.724 % | |
8 | Liberia | 19.866 % | |
9 | Madagascar | 19.859 % | |
10 | Burkina Faso | 19.702 % | |
11 | Mauritius | 19.565 % | |
12 | Côte d'Ivoire | 19.356 % | |
13 | Sri Lanka | 19.085 % | |
14 | Mozambique | 18.997 % | |
15 | Papua New Guinea | 18.421 % | |
16 | Benin | 18.276 % | |
17 | Botswana | 18.17 % | |
18 | Timor-Leste | 18.063 % | |
19 | Morocco | 17.483 % | |
20 | Laos | 17.389 % | |
21 | South Africa | 16.98 % | |
22 | Guyana | 16.563 % | |
23 | Angola | 16.479 % | |
24 | Namibia | 16.26 % | |
25 | Malawi | 16.172 % | |
26 | Eritrea | 15.713 % | |
27 | Togo | 15.631 % | |
28 | Jordan | 15.616 % | |
29 | Ghana | 15.613 % | |
30 | Central African Republic | 15.492 % | |
31 | Burundi | 15.449 % | |
32 | Trinidad and Tobago | 15.366 % | |
33 | Gabon | 15.04 % | |
34 | Turkey | 15.037 % | |
35 | Saint Lucia | 15.024 % | |
36 | Bahamas | 14.837 % | |
37 | Lesotho | 14.831 % | |
38 | Suriname | 14.806 % | |
39 | Jamaica | 14.654 % | |
40 | Antigua and Barbuda | 14.488 % | |
41 | Gambia | 14.151 % | |
42 | Guatemala | 14.137 % | |
43 | Maldives | 13.837 % | |
44 | Cambodia | 13.739 % | |
45 | Palau | 13.6 % | |
46 | Oman | 13.449 % | |
47 | Cameroon | 13.126 % | |
48 | Solomon Islands | 13.085 % | |
49 | United Arab Emirates | 13.043 % | |
50 | Zimbabwe | 12.805 % | |
51 | Sierra Leone | 12.721 % | |
52 | Zambia | 12.66 % | |
53 | Brunei Darussalam | 12.639 % | |
54 | Congo | 12.442 % | |
55 | Myanmar | 12.401 % | |
56 | Malaysia | 12.399 % | |
57 | Lebanon | 12.387 % | |
58 | Vanuatu | 12.375 % | |
59 | Seychelles | 12.238 % | |
60 | Bhutan | 11.97 % | |
61 | Congo, Democratic Republic of the | 11.897 % | |
62 | Honduras | 11.812 % | |
63 | Panama | 11.358 % | |
64 | Tanzania | 11.337 % | |
65 | Ecuador | 11.283 % | |
66 | Kenya | 11.255 % | |
67 | Nicaragua | 11.165 % | |
68 | Japan | 11.049 % | |
69 | Dominican Republic | 11.04 % | |
70 | Kuwait | 10.998 % | |
71 | Azerbaijan | 10.966 % | |
72 | Belize | 10.938 % | |
73 | Eswatini | 10.817 % | |
74 | Thailand | 10.778 % | |
75 | Indonesia | 10.728 % | |
76 | Bahrain | 10.686 % | |
77 | Bulgaria | 10.562 % | |
78 | Singapore | 10.54 % | |
79 | Iraq | 10.533 % | |
80 | El Salvador | 10.488 % | |
81 | Sao Tome and Principe | 10.324 % | |
82 | Greece | 10.191 % | |
83 | Mexico | 10.069 % | |
84 | Paraguay | 10.069 % | |
85 | Romania | 10.065 % | |
86 | Colombia | 10.037 % | |
87 | Qatar | 9.874 % | |
88 | Tajikistan | 9.783 % | |
89 | Israel | 9.747 % | |
90 | Peru | 9.454 % | |
91 | State of Palestine | 9.394 % | |
92 | Kiribati | 9.338 % | |
93 | Spain | 9.05 % | |
94 | Rwanda | 8.936 % | |
95 | Vietnam | 8.917 % | |
96 | Venezuela | 8.87 % | |
97 | Andorra | 8.837 % | |
98 | Bolivia | 8.695 % | |
99 | Costa Rica | 8.415 % | |
100 | Hungary | 8.406 % | |
101 | Uruguay | 8.394 % | |
102 | Armenia | 8.326 % | |
103 | Brazil | 8.183 % | |
104 | North Macedonia | 8.112 % | |
105 | United States | 7.962 % | |
106 | Tunisia | 7.911 % | |
107 | Portugal | 7.657 % | |
108 | France | 7.58 % | |
109 | Argentina | 7.444 % | |
110 | Fiji | 7.366 % | |
111 | United Kingdom | 7.336 % | |
112 | Russia | 7.313 % | |
113 | Slovakia | 7.275 % | |
114 | Monaco | 7.265 % | |
115 | Cuba | 7.123 % | |
116 | Luxembourg | 7.1 % | |
117 | Belgium | 7.06 % | |
118 | Kyrgyzstan | 6.854 % | |
119 | Austria | 6.847 % | |
120 | Czech Republic | 6.836 % | |
121 | Mongolia | 6.818 % | |
122 | Algeria | 6.79 % | |
123 | Germany | 6.76 % | |
124 | Italy | 6.731 % | |
125 | Malta | 6.725 % | |
126 | Republic of Moldova | 6.498 % | |
127 | Netherlands | 6.476 % | |
128 | Georgia | 6.427 % | |
129 | Montenegro | 6.401 % | |
130 | Switzerland | 6.304 % | |
131 | Australia | 6.296 % | |
132 | Kazakhstan | 6.134 % | |
133 | New Zealand | 6.085 % | |
134 | Ukraine | 5.985 % | |
135 | Slovenia | 5.979 % | |
136 | Serbia | 5.906 % | |
137 | Canada | 5.9 % | |
138 | Poland | 5.899 % | |
139 | Albania | 5.888 % | |
140 | Uzbekistan | 5.653 % | |
141 | Chile | 5.62 % | |
142 | Turkmenistan | 5.457 % | |
143 | China | 5.455 % | |
144 | South Korea | 5.439 % | |
145 | Denmark | 5.296 % | |
146 | Belarus | 5.14 % | |
147 | Bosnia and Herzegovina | 5.107 % | |
148 | Croatia | 4.974 % | |
149 | Ireland | 4.958 % | |
150 | Norway | 4.919 % | |
151 | Latvia | 4.801 % | |
152 | Lithuania | 4.689 % | |
153 | Estonia | 4.375 % | |
154 | Sweden | 4.257 % | |
155 | Finland | 4.187 % | |
156 | San Marino | 3.922 % | |
157 | Iceland | 3.682 % |
- #1
India
- #2
Bangladesh
- #3
Comoros
- #4
Guinea-Bissau
- #5
Nepal
- #6
Philippines
- #7
Senegal
- #8
Liberia
- #9
Madagascar
- #10
Burkina Faso
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
Ireland
- #148
Croatia
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2005, India had the highest Low Birth Weight Prevalence at 31.32%, while the global range spanned from 3.68% in Iceland to 31.32% in India. The global average for this health indicator was 11.14%, providing a critical benchmark for understanding newborn health across 157 countries.
Economic and Health Infrastructure Influences on Low Birth Weight
The prevalence of low birth weight is often linked to a country's economic status and the robustness of its healthcare infrastructure. In India, where the rate reached 31.32%, factors such as high poverty levels and limited access to maternal healthcare services play significant roles. Similarly, Bangladesh (25.17%) and Nepal (22.05%) show high rates, which can partly be attributed to economic constraints and nutritional deficiencies affecting pregnant women.
Conversely, countries with lower low birth weight prevalence, such as Iceland (3.68%) and Finland (4.19%), benefit from strong health systems and comprehensive prenatal care programs. These nations emphasize early maternal health interventions and have robust public health policies that support maternal nutrition and healthcare access.
Geographic Patterns and Cultural Factors
Geographic and cultural factors also influence low birth weight prevalence. In Sub-Saharan Africa, countries like Guinea-Bissau (23.41%) and Senegal (20.72%) exhibit higher rates, often due to rural populations with limited healthcare access and cultural practices that may not prioritize maternal health. In contrast, Nordic countries such as Norway (4.92%) and Sweden (4.26%) show much lower rates, where cultural emphasis on health and wellness plays a pivotal role.
The influence of urbanization is evident in countries like the Philippines (20.95%), where rapid urban growth can strain healthcare resources and lead to disparities in maternal care. Urban areas may offer better healthcare facilities, but the high population density can also result in unequal access, contributing to higher low birth weight rates.
Year-over-Year Trends and Significant Changes
Analyzing year-over-year changes reveals notable trends in low birth weight prevalence. Timor-Leste experienced the largest decrease, with a decline of 0.40% (-2.2%), indicating possible improvements in healthcare access or maternal nutrition initiatives. Meanwhile, India saw a reduction of 0.26% (-0.8%), reflecting gradual health policy improvements despite its high overall rate.
On the contrary, Kuwait experienced a 0.19% increase (1.7%), which could be attributed to lifestyle changes or healthcare system challenges. Similarly, Jordan and Saint Lucia each saw increases of 0.15% and 0.14% respectively, suggesting areas where healthcare policies may need to adapt to changing conditions.
Implications for Policy and Future Directions
The data from 2005 underscores the critical need for targeted health policies aimed at reducing low birth weight prevalence. For countries like India and Bangladesh, investments in maternal health, nutrition programs, and rural healthcare infrastructure are essential. Addressing socio-economic disparities and enhancing access to quality prenatal care can significantly impact these rates.
In nations with low prevalence, continued support for public health initiatives and maintaining high healthcare standards are crucial to sustaining their success. As global health challenges evolve, countries must adapt by integrating innovative healthcare solutions and fostering international cooperation to address the underlying causes of low birth weight.
Frequently Asked Questions About Low Birth Weight Prevalence in 2005
Which country had the highest prevalence of low birth weight in 2005?
India had the highest prevalence of low birth weight in 2005, with 31.32% of newborns weighing less than 2,500 grams.
Which country had the lowest prevalence of low birth weight in 2005?
Iceland had the lowest prevalence of low birth weight in 2005, with 3.68% of newborns weighing less than 2,500 grams.
What was the average prevalence of low birth weight across countries in 2005?
The average prevalence of low birth weight across the 157 countries in 2005 was 11.14%.
What was the median prevalence of low birth weight in 2005?
The median prevalence of low birth weight in 2005 was 10.53%.
Which countries were in the top 3 for low birth weight prevalence in 2005?
The top 3 countries for low birth weight prevalence in 2005 were India (31.32%), Bangladesh (25.17%), and Comoros (24.97%).
How many countries were included in the dataset for low birth weight prevalence in 2005?
The dataset for low birth weight prevalence in 2005 included 157 countries.
Insights by country
State of Palestine
In 2005, the State of Palestine had a Low Birth Weight Prevalence of 9.394068 %, ranking #91 out of 157 countries. This prevalence is higher than the global average, indicating potential public health concerns. Factors contributing to this statistic include economic challenges, limited access to healthcare services, and the impact of ongoing conflict, which can affect maternal health and nutrition.
Greece
In 2005, Greece had a Low Birth Weight Prevalence of 10.191023 %, ranking #82 out of 157 countries. This figure is notably higher than the global average, indicating potential health challenges within the population. Contributing factors include Greece's economic conditions and healthcare access, which can impact maternal health and prenatal care quality.
Algeria
In 2005, Algeria had a Low Birth Weight Prevalence of 6.790483 %, ranking #122 out of 157 countries. This figure is notably higher than the global average, indicating challenges in maternal and infant health. Contributing factors include economic constraints and limited access to healthcare services, particularly in rural areas, which can impact prenatal care and nutrition for expectant mothers.
Fiji
In 2005, Fiji ranked #110 globally for Low Birth Weight Prevalence, with a rate of 7.3661423 %. This figure is notably higher than the global average, indicating challenges in maternal health compared to many other nations. Contributing factors include limited access to healthcare services in rural areas and socioeconomic issues that affect nutrition and prenatal care. Additionally, the geographical isolation of many communities can hinder the availability of essential health resources.
Ecuador
Ecuador had a Low Birth Weight Prevalence of 11.282928 % in 2005, ranking #65 out of 157 countries. This figure is notably higher than the global average, indicating significant health challenges. Contributing factors include limited access to prenatal care, economic disparities, and high rates of teenage pregnancies, which affect maternal health and nutrition. Additionally, geographic disparities in healthcare access further exacerbate these issues, particularly in rural areas.
Denmark
In 2005, Denmark had a Low Birth Weight Prevalence of 5.2963147 %, ranking #145 out of 157 countries. This figure is notably higher than the global average, indicating potential health challenges in maternal care compared to other developed nations. Contributing factors include Denmark's relatively high rates of maternal smoking and alcohol consumption during pregnancy, alongside a focus on maintaining a high standard of healthcare access for expectant mothers.
Albania
In 2005, Albania had a Low Birth Weight Prevalence of 5.8882303 %, ranking #139 out of 157 countries. This figure is notably higher than that of neighboring countries like Montenegro, which has made significant strides in maternal health. Factors contributing to Albania's prevalence include economic challenges, limited access to healthcare services, and a need for improved maternal nutrition and prenatal care.
Sri Lanka
Sri Lanka ranked #13 globally in 2005 for Low Birth Weight Prevalence, with a value of 19.085264 %. This figure is notably higher than the global average, indicating significant health challenges. Contributing factors include socioeconomic disparities, limited access to quality prenatal care, and nutritional deficiencies among pregnant women, which are prevalent in certain regions of the country.
Cambodia
Cambodia ranked #44 globally in 2005 for Low Birth Weight Prevalence, with a rate of 13.738857 %. This figure is notably higher than the global average, indicating significant public health challenges. Contributing factors include limited access to prenatal care, high rates of malnutrition among pregnant women, and socio-economic barriers that affect maternal health. Additionally, Cambodia's recovery from decades of conflict has impacted healthcare infrastructure, further complicating efforts to reduce low birth weight rates.
China
In 2005, China had a Low Birth Weight Prevalence of 5.4554687 %, ranking #143 out of 157 countries. This figure is higher than many of its regional neighbors, indicating challenges in maternal health and nutrition. Contributing factors include rapid urbanization, which has impacted access to healthcare services, as well as socioeconomic disparities that affect prenatal care quality.
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.