Güntersleben, Germany — statistics
We present to you the most complete, extensive, and comprehensive statistical information on place Güntersleben, Germany.
Discover the essence of Güntersleben, a city of Germany. Cities, the bedrocks of modern civilization, play pivotal roles in the cultural, economic, and social development of a country. They are centers of innovation, culture, and history, often reflecting the country's heritage and progress. The role of cities like Güntersleben in Germany extends beyond mere geographical significance; they are hubs of commerce, education, and lifestyle.
City Definition and Importance
A city is more than just a densely populated area; it is a dynamic ecosystem offering a unique blend of opportunities and challenges. Cities drive the economic engine of countries, hosting significant business districts and industries. They serve as cultural epicenters, preserving historical landmarks while fostering contemporary arts and entertainment. Moreover, cities are melting pots of diversity, home to a multitude of ethnicities, cultures, and traditions.
Main User Groups Benefiting from This Information
- Tourists: Those planning to visit Güntersleben for its rich cultural heritage and attractions.
- Business Professionals: Individuals seeking business opportunities or insights into the economic landscape of Güntersleben.
- Students and Researchers: Scholars exploring the historical, cultural, or demographic aspects of Güntersleben.
- Residents: Locals seeking updated information about their city's development and future trends.
Our Data and Prediction Models
Our comprehensive database is constantly updated every 3 hours, ensuring you have the latest information about Güntersleben. We source our data from reputable and authoritative sources, ensuring accuracy and reliability. Our innovative prediction models provide insights into the future demographic trends of Güntersleben, projecting population changes up to the year 2100. This feature is invaluable for planners, researchers, and anyone interested in the long-term development of the city.
Universal Relevance
The information we provide transcends local boundaries, offering universal insights relevant to any city in the world. Whether you are interested in Güntersleben or any other city globally, our platform provides tailored, comprehensive, and up-to-date city data.
FAQ about Güntersleben
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EUR exchange rate
The main milestones of Güntersleben, Germany population
| 1952 | 3,800 |
| 1955 | 3,850 |
| 1958 | 3,900 |
| 1960 | 3,950 |
| 1962 | 4,000 |
| 1964 | 4,050 |
| 1965 | 4,100 |
| 1967 | 4,150 |
| 1969 | 4,200 |
| 1972 | 4,250 |
| 1992 | 4,300 |
| 1994 | 4,350 |
| 2003 | 4,400 |
| 2017 | 4,450 |
| 2019 | 4,500 |
Güntersleben, Germany population is constantly growing, and we can estimate the main milestones of Germany population
The ratio of men and women in Güntersleben, Germany
| Male | 2,231 | 50% |
| Female | 2,274 | 50% |
Current ratio of men and women in absolute and relative values in Güntersleben, Germany. If you are interested in the answer to the question "How many men and women are there in Güntersleben, Germany?" you've come to the right place!
Sources of our data about Güntersleben, Germany
The main sources of data on the population and other in Güntersleben, Germany:
- United Nations (UN) Güntersleben, Germany statistic;
- World Bank Güntersleben, Germany statistic
- World Health Organization (WHO) Güntersleben, Germany statistic;
We constantly update information about Güntersleben, Germany to provide you with only reliable and verified data!
Statistics details
- Population
- Population by age
- Male by age
- Female by age
Güntersleben, Germany population, demographics, and projections to 2100
This graph provides information about the dynamics of changes in the quantitative composition of Güntersleben, Germany population: the Total number of inhabitants, the number of men, the number of women, and the average age of Güntersleben, Germany inhabitants.
In the table, we present similar data, taking into account the projections until 2100.
| Year | Population | Male | Female | Median age |
|---|---|---|---|---|
| 1950 | 3,773 | 1,740 | 2,032 | 35 |
| 1951 | 3,791 | 1,751 | 2,039 | — |
| 1952 | 3,808 | 1,761 | 2,046 | — |
| 1953 | 3,824 | 1,770 | 2,054 | — |
| 1954 | 3,841 | 1,779 | 2,061 | — |
| 1955 | 3,857 | 1,788 | 2,069 | 35 |
| 1956 | 3,874 | 1,797 | 2,077 | — |
| 1957 | 3,892 | 1,806 | 2,086 | — |
| 1958 | 3,912 | 1,816 | 2,096 | — |
| 1959 | 3,934 | 1,827 | 2,106 | — |
| 1960 | 3,958 | 1,842 | 2,116 | 35 |
| 1961 | 3,986 | 1,858 | 2,128 | — |
| 1962 | 4,016 | 1,877 | 2,139 | — |
| 1963 | 4,048 | 1,896 | 2,151 | — |
| 1964 | 4,081 | 1,916 | 2,164 | — |
| 1965 | 4,112 | 1,935 | 2,176 | 34 |
| 1966 | 4,142 | 1,953 | 2,189 | — |
| 1967 | 4,171 | 1,970 | 2,201 | — |
| 1968 | 4,198 | 1,984 | 2,213 | — |
| 1969 | 4,220 | 1,997 | 2,222 | — |
| 1970 | 4,237 | 2,007 | 2,230 | 34 |
| 1971 | 4,248 | 2,014 | 2,234 | — |
| 1972 | 4,254 | 2,018 | 2,236 | — |
| 1973 | 4,256 | 2,020 | 2,236 | — |
| 1974 | 4,255 | 2,020 | 2,234 | — |
| 1975 | 4,252 | 2,020 | 2,231 | 35 |
| 1976 | 4,248 | 2,019 | 2,228 | — |
| 1977 | 4,243 | 2,019 | 2,224 | — |
| 1978 | 4,237 | 2,017 | 2,219 | — |
| 1979 | 4,229 | 2,015 | 2,214 | — |
| 1980 | 4,221 | 2,012 | 2,208 | 36 |
| 1981 | 4,212 | 2,009 | 2,202 | — |
| 1982 | 4,202 | 2,005 | 2,197 | — |
| 1983 | 4,193 | 2,001 | 2,191 | — |
| 1984 | 4,189 | 2,001 | 2,188 | — |
| 1985 | 4,189 | 2,003 | 2,186 | 37 |
| 1986 | 4,195 | 2,009 | 2,186 | — |
| 1987 | 4,207 | 2,018 | 2,188 | — |
| 1988 | 4,222 | 2,030 | 2,192 | — |
| 1989 | 4,241 | 2,043 | 2,198 | — |
| 1990 | 4,263 | 2,057 | 2,206 | 38 |
| 1991 | 4,286 | 2,071 | 2,215 | — |
| 1992 | 4,312 | 2,085 | 2,226 | — |
| 1993 | 4,337 | 2,099 | 2,237 | — |
| 1994 | 4,359 | 2,111 | 2,247 | — |
| 1995 | 4,375 | 2,121 | 2,253 | 38 |
| 1996 | 4,385 | 2,128 | 2,257 | — |
| 1997 | 4,389 | 2,132 | 2,257 | — |
| 1998 | 4,389 | 2,134 | 2,255 | — |
| 1999 | 4,389 | 2,135 | 2,253 | — |
| 2000 | 4,389 | 2,137 | 2,251 | 40 |
| 2001 | 4,392 | 2,140 | 2,251 | — |
| 2002 | 4,396 | 2,144 | 2,252 | — |
| 2003 | 4,401 | 2,147 | 2,253 | — |
| 2004 | 4,402 | 2,150 | 2,252 | — |
| 2005 | 4,400 | 2,150 | 2,250 | 42 |
| 2006 | 4,393 | 2,148 | 2,245 | — |
| 2007 | 4,383 | 2,144 | 2,238 | — |
| 2008 | 4,371 | 2,140 | 2,231 | — |
| 2009 | 4,362 | 2,137 | 2,225 | — |
| 2010 | 4,358 | 2,136 | 2,222 | 44 |
| 2011 | 4,360 | 2,138 | 2,221 | — |
| 2012 | 4,366 | 2,142 | 2,223 | — |
| 2013 | 4,377 | 2,149 | 2,227 | — |
| 2014 | 4,392 | 2,158 | 2,233 | — |
| 2015 | 4,410 | 2,169 | 2,241 | 46 |
| 2016 | 4,432 | 2,182 | 2,250 | — |
| 2017 | 4,457 | 2,196 | 2,260 | — |
| 2018 | 4,482 | 2,211 | 2,270 | — |
| 2019 | 4,503 | 2,224 | 2,279 | — |
| 2020 | 4,518 | 2,233 | 2,284 | 46 |
| 2021 | 4,524 | 2,237 | 2,286 | — |
| 2022 | 4,523 | 2,238 | 2,284 | — |
| 2023 | 4,517 | 2,236 | 2,281 | — |
| 2024 | 4,510 | 2,233 | 2,276 | 46 |
| 2025 | 4,503 | 2,230 | 2,272 | 46 |
| 2026 | 4,498 | 2,229 | 2,269 | — |
| 2027 | 4,494 | 2,228 | 2,266 | — |
| 2028 | 4,491 | 2,227 | 2,263 | — |
| 2029 | 4,487 | 2,226 | 2,260 | — |
| 2030 | 4,483 | 2,225 | 2,257 | 47 |
| 2031 | 4,478 | 2,223 | 2,254 | — |
| 2032 | 4,473 | 2,222 | 2,251 | — |
| 2033 | 4,468 | 2,220 | 2,247 | — |
| 2034 | 4,462 | 2,218 | 2,244 | — |
| 2035 | 4,457 | 2,216 | 2,240 | 48 |
| 2036 | 4,450 | 2,213 | 2,236 | — |
| 2037 | 4,444 | 2,211 | 2,233 | — |
| 2038 | 4,437 | 2,208 | 2,228 | — |
| 2039 | 4,429 | 2,205 | 2,224 | — |
| 2040 | 4,422 | 2,202 | 2,220 | 49 |
| 2041 | 4,413 | 2,198 | 2,215 | — |
| 2042 | 4,405 | 2,194 | 2,210 | — |
| 2043 | 4,395 | 2,190 | 2,205 | — |
| 2044 | 4,386 | 2,186 | 2,200 | — |
| 2045 | 4,376 | 2,181 | 2,194 | 49 |
| 2046 | 4,365 | 2,176 | 2,188 | — |
| 2047 | 4,354 | 2,171 | 2,182 | — |
| 2048 | 4,343 | 2,166 | 2,176 | — |
| 2049 | 4,331 | 2,161 | 2,170 | — |
| 2050 | 4,319 | 2,155 | 2,163 | 49 |
| 2051 | 4,307 | 2,150 | 2,157 | — |
| 2052 | 4,295 | 2,145 | 2,150 | — |
| 2053 | 4,283 | 2,140 | 2,143 | — |
| 2054 | 4,271 | 2,134 | 2,137 | — |
| 2055 | 4,260 | 2,129 | 2,130 | 49 |
| 2056 | 4,248 | 2,124 | 2,124 | — |
| 2057 | 4,236 | 2,119 | 2,117 | — |
| 2058 | 4,225 | 2,114 | 2,111 | — |
| 2059 | 4,214 | 2,109 | 2,105 | — |
| 2060 | 4,204 | 2,104 | 2,099 | 48 |
| 2061 | 4,194 | 2,100 | 2,093 | — |
| 2062 | 4,184 | 2,096 | 2,088 | — |
| 2063 | 4,175 | 2,092 | 2,083 | — |
| 2064 | 4,166 | 2,088 | 2,078 | — |
| 2065 | 4,158 | 2,084 | 2,073 | 48 |
| 2066 | 4,150 | 2,081 | 2,069 | — |
| 2067 | 4,143 | 2,078 | 2,065 | — |
| 2068 | 4,136 | 2,074 | 2,061 | — |
| 2069 | 4,129 | 2,071 | 2,058 | — |
| 2070 | 4,123 | 2,068 | 2,054 | 48 |
| 2071 | 4,117 | 2,065 | 2,051 | — |
| 2072 | 4,111 | 2,062 | 2,048 | — |
| 2073 | 4,105 | 2,059 | 2,045 | — |
| 2074 | 4,099 | 2,056 | 2,042 | — |
| 2075 | 4,093 | 2,054 | 2,039 | 48 |
| 2076 | 4,088 | 2,051 | 2,036 | — |
| 2077 | 4,082 | 2,048 | 2,034 | — |
| 2078 | 4,076 | 2,045 | 2,031 | — |
| 2079 | 4,071 | 2,042 | 2,028 | — |
| 2080 | 4,066 | 2,039 | 2,026 | 48 |
| 2081 | 4,061 | 2,037 | 2,024 | — |
| 2082 | 4,056 | 2,034 | 2,021 | — |
| 2083 | 4,052 | 2,032 | 2,019 | — |
| 2084 | 4,048 | 2,030 | 2,017 | — |
| 2085 | 4,044 | 2,028 | 2,016 | 48 |
| 2086 | 4,041 | 2,026 | 2,014 | — |
| 2087 | 4,038 | 2,024 | 2,013 | — |
| 2088 | 4,035 | 2,023 | 2,012 | — |
| 2089 | 4,033 | 2,022 | 2,011 | — |
| 2090 | 4,032 | 2,021 | 2,010 | 48 |
| 2091 | 4,030 | 2,020 | 2,010 | — |
| 2092 | 4,029 | 2,019 | 2,010 | — |
| 2093 | 4,028 | 2,019 | 2,009 | — |
| 2094 | 4,028 | 2,018 | 2,009 | — |
| 2095 | 4,028 | 2,018 | 2,009 | 48 |
| 2096 | 4,028 | 2,018 | 2,010 | — |
| 2097 | 4,028 | 2,018 | 2,010 | — |
| 2098 | 4,029 | 2,018 | 2,010 | — |
| 2099 | 4,029 | 2,018 | 2,011 | — |
| 2100 | 4,030 | 2,018 | 2,011 | 49 |