Congo - Kinshasa vs Pakistan
Congo - Kinshasa vs Pakistan: Days above 35 °C
Days above 35 °C in 2014: 2 days in Congo - Kinshasa and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 116.6 days, or 58 times that in Congo - Kinshasa.
days a year · CMIP6
What the numbers say
- Pakistan has been higher in every year both have figures for since 1950.
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Congo - Kinshasa at 25 days and Pakistan at 147.6 days in 2100.
Every year
days a year · CMIP6
| Year | Congo - Kinshasa | Pakistan |
|---|---|---|
| 2014 | 2 | 118.6 |
| 2013 | 2 | 117.5 |
| 2012 | 2.1 | 117.5 |
| 2011 | 1.8 | 118 |
| 2010 | 1.7 | 114.3 |
| 2009 | 1.8 | 115.3 |
| 2008 | 1.5 | 115.4 |
| 2007 | 1.2 | 112.5 |
| 2006 | 1.5 | 112.9 |
| 2005 | 1.9 | 114.9 |
| 2004 | 1.7 | 116.1 |
| 2003 | 1.4 | 114.6 |
| 2002 | 1.7 | 115.9 |
| 2001 | 1.8 | 114.4 |
| 2000 | 1 | 114.6 |
| 1999 | 1.1 | 114.2 |
| 1998 | 1.2 | 111.7 |
| 1997 | 1.1 | 112 |
| 1996 | 1 | 108.3 |
| 1995 | 0.9 | 110 |
| 1994 | 0.8 | 108.6 |
| 1993 | 0.7 | 107.2 |
| 1992 | 0.6 | 105.2 |
| 1991 | 1.2 | 110.6 |
| 1990 | 1.2 | 110.7 |
| 1989 | 1.2 | 110.9 |
| 1988 | 0.9 | 109.8 |
| 1987 | 1 | 108.3 |
| 1986 | 1.1 | 108.7 |
| 1985 | 1 | 105.6 |
| 1984 | 1 | 108 |
| 1983 | 0.9 | 104.7 |
| 1982 | 0.8 | 108 |
| 1981 | 0.9 | 109.5 |
| 1980 | 0.9 | 109.7 |
| 1979 | 0.8 | 108.7 |
| 1978 | 0.6 | 108.6 |
| 1977 | 0.9 | 106.5 |
| 1976 | 0.7 | 108.2 |
| 1975 | 1 | 105 |
| 1974 | 0.8 | 108.8 |
| 1973 | 0.9 | 108 |
| 1972 | 0.6 | 104.5 |
| 1971 | 0.8 | 106.2 |
| 1970 | 0.6 | 106.5 |
| 1969 | 0.8 | 105.8 |
| 1968 | 0.7 | 104.4 |
| 1967 | 0.6 | 106.4 |
| 1966 | 0.6 | 106.4 |
| 1965 | 0.7 | 106 |
| 1964 | 0.3 | 103 |
| 1963 | 0.7 | 104.3 |
| 1962 | 0.9 | 106.7 |
| 1961 | 0.7 | 108.7 |
| 1960 | 0.9 | 108.7 |
| 1959 | 1 | 110.4 |
| 1958 | 0.7 | 108.5 |
| 1957 | 0.8 | 110.7 |
| 1956 | 0.7 | 108.8 |
| 1955 | 0.8 | 108.3 |
| 1954 | 0.7 | 107 |
| 1953 | 0.9 | 107.6 |
| 1952 | 0.8 | 108.9 |
| 1951 | 0.8 | 108.1 |
| 1950 | 0.9 | 110.5 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Congo - Kinshasa | Pakistan |
|---|---|---|
| 2015 | 2.60.6–7.2 | 122100.8–136.6 |
| 2016 | 1.80.1–4.9 | 119.5104.9–132 |
| 2017 | 2.30.3–6.8 | 119.999.5–134.3 |
| 2018 | 2.30.4–6.4 | 119.7103–133.8 |
| 2019 | 2.10.2–8 | 118.997.2–133.8 |
| 2020 | 2.30.5–7.1 | 122.8105–136.3 |
| 2021 | 2.80.7–7.1 | 122.9103.2–138.2 |
| 2022 | 2.60.6–7.1 | 120.7101.9–136.4 |
| 2023 | 2.50.5–7.1 | 123.3104.8–138.8 |
| 2024 | 2.90.8–8.2 | 124.4105.4–139.1 |
| 2025 | 2.70.6–6.9 | 123.8102.8–139.1 |
| 2026 | 3.10.5–8.9 | 122.5101.9–141.8 |
| 2027 | 3.10.4–10.7 | 124.4101.5–141 |
| 2028 | 3.50.6–10.3 | 124.8103.6–140.2 |
| 2029 | 41.1–11.2 | 126.499.2–141.6 |
| 2030 | 3.30.6–10.6 | 122.5103.5–140.1 |
| 2031 | 40.9–12 | 122.7105.6–139.9 |
| 2032 | 4.50.8–13.6 | 126104–143.9 |
| 2033 | 3.90.8–12.3 | 125.9106.6–144.1 |
| 2034 | 4.20.6–13.2 | 130.9113.2–147.8 |
| 2035 | 4.21–14.5 | 127.1107.6–143.6 |
| 2036 | 4.40.3–11.6 | 125.5108.3–143.4 |
| 2037 | 51–14.4 | 130.7112.4–147.9 |
| 2038 | 5.61–14.9 | 130.9108.6–144.9 |
| 2039 | 4.30.9–12.4 | 128.6110.2–144.9 |
| 2040 | 4.80.9–16 | 133.2115.1–146.1 |
| 2041 | 6.31–15 | 127.2108.3–143.5 |
| 2042 | 6.50.9–18.4 | 134.6112.8–150.7 |
| 2043 | 5.60.9–17.2 | 131.6112.5–149.3 |
| 2044 | 5.11.1–14.8 | 128.2108.1–145.9 |
| 2045 | 5.81.1–13.8 | 133.4116.7–148.7 |
| 2046 | 8.31.2–20.5 | 133.8109–151.1 |
| 2047 | 91.7–24.1 | 134.6110–150.9 |
| 2048 | 8.61.6–21.1 | 136117.1–152.3 |
| 2049 | 8.61.7–24.1 | 133.3115.2–152.5 |
| 2050 | 7.11.1–19.8 | 138.4119.4–157.4 |
| 2051 | 7.41.8–24.1 | 138115.5–158.2 |
| 2052 | 9.21.7–21 | 138.3120.3–155.3 |
| 2053 | 91.8–24.6 | 137.4117.7–155.8 |
| 2054 | 9.71.5–23.8 | 137116–152.4 |
| 2055 | 8.31.5–30.1 | 139.6120–157.2 |
| 2056 | 9.50.8–30.7 | 135.8117.3–154.1 |
| 2057 | 10.81.5–33 | 141.5119.5–158.8 |
| 2058 | 11.92–28.6 | 137.1114.3–154.7 |
| 2059 | 10.42.3–28.8 | 141.4122.6–156.6 |
| 2060 | 12.31.7–31.3 | 142.5124.1–158.6 |
| 2061 | 12.41.5–33 | 142.3123.2–157.4 |
| 2062 | 10.52–30.9 | 141.3118.8–161.2 |
| 2063 | 10.82–30.1 | 143.1125.6–160.6 |
| 2064 | 11.32.6–32.5 | 140.7119.8–163.5 |
| 2065 | 13.73.4–39.4 | 141.1121.5–159.3 |
| 2066 | 11.42.8–33.3 | 143.8122.5–163.4 |
| 2067 | 12.22.5–38.6 | 144.2125.9–162.3 |
| 2068 | 132.7–35.8 | 143.2126–162.2 |
| 2069 | 12.51.2–34.5 | 144.7119.8–163.2 |
| 2070 | 122.7–42.2 | 143.7126.5–163 |
| 2071 | 142.4–40.1 | 145.5121.8–164.4 |
| 2072 | 15.93.2–34.3 | 147.1125.5–165.1 |
| 2073 | 17.23.2–51 | 149.2122.1–164.7 |
| 2074 | 13.72.8–36.9 | 145.8126.7–162.2 |
| 2075 | 13.82.1–45.3 | 145.1126.2–160.5 |
| 2076 | 14.63.2–50 | 145.7126.4–165.9 |
| 2077 | 17.13.6–42.2 | 146.1126.2–164.4 |
| 2078 | 15.62.6–46.9 | 146.5121.4–164.4 |
| 2079 | 16.63.8–46.1 | 144.6122.7–161 |
| 2080 | 16.53.5–42.8 | 148.2123.7–166.4 |
| 2081 | 16.72.8–52.1 | 145.8122.2–167 |
| 2082 | 17.53.4–47.2 | 146123.3–168.8 |
| 2083 | 18.54.3–59.2 | 148.3127–167.4 |
| 2084 | 19.23.2–43.4 | 150.5128.5–167.6 |
| 2085 | 19.54–53.3 | 149.9126.1–170.8 |
| 2086 | 19.43.2–53.1 | 146.3124.2–165 |
| 2087 | 18.63.2–55.4 | 149.9124.3–167.3 |
| 2088 | 18.84.5–54.1 | 149.3127.9–169.7 |
| 2089 | 19.94.9–52.3 | 148.9129.6–166.7 |
| 2090 | 194.5–48.3 | 150.3131.5–166.7 |
| 2091 | 20.64.6–60.2 | 151.1128.4–168.7 |
| 2092 | 21.64.2–57.7 | 150.5129.8–170.2 |
| 2093 | 21.45.7–60.6 | 151.6131.8–167.9 |
| 2094 | 23.54.9–63.1 | 151.5130.4–168.6 |
| 2095 | 25.24.5–63.7 | 152.5130.6–169.2 |
| 2096 | 19.44.3–59.5 | 150.8124.2–169 |
| 2097 | 19.94–52.5 | 149.4130.3–167.5 |
| 2098 | 20.83.2–65.2 | 151.7125.4–168.2 |
| 2099 | 20.73.6–66 | 151.6124.4–170.6 |
| 2100 | 253.5–59 | 147.6125.2–167.5 |
Each country on its own
Good to know
- Days in a year whose highest temperature passes 35 °C, averaged over the country.
- Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
- The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
- Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.
How the layers work, where their data comes from and what they can’t tell you: Countries through time
Congo - Kinshasa vs Pakistan
Health
- Life expectancyCongo - Kinshasa: 61.9 years in 2023Pakistan: 67.7 years in 2023
- Child mortalityCongo - Kinshasa: 9 per 100 live births in 2024Pakistan: 5.6 per 100 live births in 2024
- Infant mortalityCongo - Kinshasa: 49.3 per 1,000 live births in 2023Pakistan: 49.4 per 1,000 live births in 2023
- Safe drinking waterCongo - Kinshasa: 11.6% in 2022Pakistan: 50.6% in 2022
- DepressionCongo - Kinshasa: 3.96% in 2017Pakistan: 3.33% in 2017
- Suicide rateCongo - Kinshasa: 11.6 per 100,000 people in 2017Pakistan: 4.4 per 100,000 people in 2017
People
- PopulationCongo - Kinshasa: 106 million people in 2023Pakistan: 248 million people in 2023
- Population growthCongo - Kinshasa: 3.26% a year in 2023Pakistan: 1.48% a year in 2023
- Fertility rateCongo - Kinshasa: 6.05 births per woman in 2023Pakistan: 3.61 births per woman in 2023
- Urban populationCongo - Kinshasa: 45.1% in 2025Pakistan: 39.5% in 2025
- Median ageCongo - Kinshasa: 15.8 years in 2023Pakistan: 20.3 years in 2023
- People aged 65 and overCongo - Kinshasa: 3.1% in 2023Pakistan: 4.2% in 2023
- Net migration rateCongo - Kinshasa: -0.1 per 1,000 people in 2023Pakistan: -6.5 per 1,000 people in 2023
Economy
- GDP per personCongo - Kinshasa: $568 in 2025Pakistan: $1,669 in 2025
- GDP growthCongo - Kinshasa: 8.5% a year in 2023Pakistan: 2.6% a year in 2024
- InflationCongo - Kinshasa: 7.4% a year in 2025Pakistan: 4.5% a year in 2025
- Government debtCongo - Kinshasa: 17.2% of GDP in 2023Pakistan: 72.8% of GDP in 2025
Education
Politics
Conflict
Military
- Military spendingCongo - Kinshasa: 1.38% of GDP in 2025Pakistan: 2.91% of GDP in 2025
- Military spending in US dollarsCongo - Kinshasa: $1.08B in 2025Pakistan: $11.5B in 2025
- Military spending per personCongo - Kinshasa: $11 in 2025Pakistan: $47 in 2025
- Military share of state spendingCongo - Kinshasa: 8.1% of government spending in 2025Pakistan: 13.8% of government spending in 2025
- Armed forces personnelCongo - Kinshasa: 134,000 people in 2020Pakistan: 943,000 people in 2020
- National powerCongo - Kinshasa: 0.59% of world capability in 2022Pakistan: 1.77% of world capability in 2022
- Armed forces, share of workersCongo - Kinshasa: 0.41% of the labour force in 2020Pakistan: 1.25% of the labour force in 2020
- Arms importsCongo - Kinshasa: 44 million TIV in 2025Pakistan: 706 million TIV in 2025
- Arms exportsCongo - Kinshasa: 22 million TIV in 1997Pakistan: 127 million TIV in 2025