Number of neonatal deaths, per square kilometre in Upper middle income
Upper middle income: Number of neonatal deaths, per square kilometre was 0.0046 units per square kilometre in 2023. ◆ Volatile
Number of neonatal deaths, per square kilometre in Upper middle income, 1990–2023
Source: Statizoid (derived). Measured in units per square kilometre.
Analysis
Upper middle income recorded 0.0046 units per square kilometre for number of neonatal deaths, per square kilometre in 2023. That is the lowest value across all 34 years on record.
Compared with earlier readings it is down 5.4% on the previous year and down 46.1% over ten years.
Over the whole period, number of neonatal deaths, per square kilometre in Upper middle income peaked at 0.0357 units per square kilometre in 1990 and was at its lowest, 0.0046 units per square kilometre, in 2023.
That places Upper middle income 32nd out of 47 groups with data for 2023, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Number of neonatal deaths, per square kilometre in Upper middle income, year by year
| Year | units per square kilometre | Change |
|---|---|---|
| 1990 | 0.0357 units per square kilometre | — |
| 1991 | 0.0312 units per square kilometre | -12.6% |
| 1992 | 0.0264 units per square kilometre | -15.3% |
| 1993 | 0.0252 units per square kilometre | -4.8% |
| 1994 | 0.0239 units per square kilometre | -5.2% |
| 1995 | 0.0227 units per square kilometre | -5.0% |
| 1996 | 0.0213 units per square kilometre | -5.9% |
| 1997 | 0.0201 units per square kilometre | -5.8% |
| 1998 | 0.019 units per square kilometre | -5.6% |
| 1999 | 0.0179 units per square kilometre | -5.5% |
| 2000 | 0.0174 units per square kilometre | -3.2% |
| 2001 | 0.016 units per square kilometre | -8.1% |
| 2002 | 0.0149 units per square kilometre | -6.6% |
| 2003 | 0.014 units per square kilometre | -6.3% |
| 2004 | 0.0133 units per square kilometre | -4.7% |
| 2005 | 0.0126 units per square kilometre | -5.1% |
| 2006 | 0.012 units per square kilometre | -4.9% |
| 2007 | 0.0115 units per square kilometre | -4.6% |
| 2008 | 0.0109 units per square kilometre | -4.5% |
| 2009 | 0.0104 units per square kilometre | -4.9% |
| 2010 | 0.0099 units per square kilometre | -5.3% |
| 2011 | 0.0094 units per square kilometre | -4.6% |
| 2012 | 0.0092 units per square kilometre | -2.3% |
| 2013 | 0.0086 units per square kilometre | -6.7% |
| 2014 | 0.0082 units per square kilometre | -4.1% |
| 2015 | 0.0076 units per square kilometre | -7.0% |
| 2016 | 0.0074 units per square kilometre | -3.6% |
| 2017 | 0.007 units per square kilometre | -5.5% |
| 2018 | 0.0064 units per square kilometre | -8.0% |
| 2019 | 0.0061 units per square kilometre | -5.3% |
| 2020 | 0.0056 units per square kilometre | -8.1% |
| 2021 | 0.0052 units per square kilometre | -6.3% |
| 2022 | 0.0049 units per square kilometre | -6.3% |
| 2023 | 0.0046 units per square kilometre | -5.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.0243 units per square kilometre | 0.0179 units per square kilometre | 0.0357 units per square kilometre | 10 |
| 2000s | 0.0133 units per square kilometre | 0.0104 units per square kilometre | 0.0174 units per square kilometre | 10 |
| 2010s | 0.008 units per square kilometre | 0.0061 units per square kilometre | 0.0099 units per square kilometre | 10 |
| 2020s | 0.0051 units per square kilometre | 0.0046 units per square kilometre | 0.0056 units per square kilometre | 4 |
Countries ranked near Upper middle income
- 29 Tuvalu 0.0667 units per square kilometre compare
- 30 Burkina Faso 0.0643 units per square kilometre compare
- 31 Nepal 0.0635 units per square kilometre compare
- 32 Marshall Islands 0.0611 units per square kilometre compare
- 33 Guinea 0.0601 units per square kilometre compare
- 34 Senegal 0.0598 units per square kilometre compare
- 35 Liberia 0.0584 units per square kilometre compare
More health data for Upper middle income
- Population ages 45-49, female, per capita 0.0325 units per person (2025)
- Population ages 50-54, female, per capita 0.0344 units per person (2025)
- Population ages 50-54, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 10-14, male, annual growth rate 0.256 % change on previous year (2025)
- Population ages 50-54, female, annual growth rate -1.53 % change on previous year (2025)
- Population ages 45-49, male, per capita 0.0327 units per person (2025)
- Population ages 45-49, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 10-14, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 45-49, male, annual growth rate 0.3107 % change on previous year (2025)
- Population ages 15-19, female, annual growth rate 1.31 % change on previous year (2025)
Frequently asked questions
- What is number of neonatal deaths, per square kilometre in Upper middle income?
- Number of neonatal deaths, per square kilometre in Upper middle income was 0.0046 units per square kilometre in 2023, according to Statizoid (derived).
- What is the highest number of neonatal deaths, per square kilometre recorded in Upper middle income?
- The highest recorded value was 0.0357 units per square kilometre in 1990.
- What is the lowest number of neonatal deaths, per square kilometre recorded in Upper middle income?
- The lowest recorded value was 0.0046 units per square kilometre in 2023.
- How does Upper middle income rank for number of neonatal deaths, per square kilometre?
- Upper middle income ranks 32nd out of 47 groups with data for 2023.
- Is number of neonatal deaths, per square kilometre rising or falling in Upper middle income?
- Over the last ten years it is down 46.1%. The long-run trend across the full record is volatile.
- Where does this Upper middle income data come from?
- The figures come from Statizoid (derived), published as part of Number of neonatal deaths, per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 34 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Number of neonatal deaths divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Number of neonatal deaths ÷ Land area (sq. km)
Computed from
- Number of neonatal deaths UN Inter-agency Group for Child Mortality Estimation, UN Children's Fund (UNICEF)
- Land area FAOSTAT, Food and Agriculture Organization of the United Nations (FAO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Number of neonatal deaths divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.