Population enrolled by age in 2019 in the Pays de la Loire region

Population enrolled by age in 2019 by municipality in the Pays de la Loire region. Municipal geography as of 1 January 2022. Age groups: * 2-5 years * 6-10 years * 11-14 years * 15-17 years old * 18-24 years * 25-30 years * 30 years and older Definitions and fact sheets: * ‘HTTPS://WWW.INSEE.FR/FR/INFORMATION/2383177’ The population census makes it possible to know the diversity and evolution of the population of France. INSEE thus provides statistics on inhabitants and dwellings, their number and characteristics:distribution by sex and age, occupations, housing conditions, modes of transport, commuting, etc. Staff over 500 can normally be used with confidence. Staff below 200 should be handled with caution, as due to the inaccuracy associated with the survey, they may not be significant. Comparisons between territories of small sizes should be prohibited. For areas with less than 2000 inhabitants, it is recommended not to use data from the complementary farm. For more methodological information, you can consult the fact sheets “Tips for the use of census results” by clicking on the link ‘https://www.insee.fr/fr/information/2383177’ These fact sheets present the new features of the population census and discuss their impact on the use of the data. In particular, they specify the changes affecting the main statistical variables and their comparability with previous censuses.卢瓦尔河地区大区（Pays de la Loire）2019年各直辖市按年龄分组的已登记人口统计。 本次统计所用的行政区划地理范围以2022年1月1日为基准日。 年龄分组如下： * 2-5岁 * 6-10岁 * 11-14岁 * 15-17岁 * 18-24岁 * 25-30岁 * 30岁及以上 定义与说明文档： * https://www.insee.fr/fr/information/2383177 人口普查可用于洞悉法国人口的多样性与演变趋势。法国国家统计与经济研究所（INSEE）据此发布涵盖居民与住宅的相关统计数据，包括人口与住宅的数量及特征：按性别与年龄划分的分布、职业类型、居住条件、交通方式、通勤情况等。 当对应区域的统计人口规模超过500时，数据通常可放心采信；若规模低于200，则需谨慎使用：因调查本身存在固有误差，此类数据的统计显著性不足。同时，禁止对小型行政区域的数据开展横向对比。 对于人口不足2000的区域，建议勿使用配套农业普查相关数据。 如需获取更多方法论相关信息，可点击链接https://www.insee.fr/fr/information/2383177，查阅《人口普查结果使用指南》说明文档。 该说明文档将介绍本次人口普查的新增特性，并探讨其对数据使用的影响；其中特别明确了主要统计变量的调整内容，以及本次普查数据与历次普查数据的可比性问题。