Mid-year population estimates

<b>Description of Data</b>

Notes:

1. The estimates are produced using a variety of data sources and statistical models. Therefore small estimates should not be taken to refer to particular individuals.

2. The migration element of the components of change have been largely derived from a data source which is known to be deficient in recording young adult males and outflows from Northern Ireland. Therefore the estimates are subject to adjustment to account for this and, while deemed acceptable for their use, will not provide definitive numbers of the population in the reported groups/areas. Further information is available in the Limitations section of the statistical bulletin:

[NISRA 2022 Mid-year Population Estimates webpage](https://www.nisra.gov.uk/publications/2022-mid-year-population-estimates-northern-ireland)

<b>Time Period</b>

Estimates are provided for mid-2001 to mid-2022.

Methodology

The cohort-component method was used to create the population estimates for 2022. This method updates the Census estimates by 'ageing on' populations and applying information on births, deaths and migration. Further information is available at:

[NISRA 2022 Mid-year Population Estimates webpage](https://www.nisra.gov.uk/publications/2022-mid-year-population-estimates-northern-ireland)

<b>Geographic Referencing</b>

Population Estimates are based on a large number of secondary datasets. Where the full address was available, the Pointer Address database was used to allocate a unique property reference number (UPRN) and geo-spatial co-ordinates to each home address. These can then be used to map the address to particular geographies. Where it was not possible to assign a unique property reference number to an address using the Pointer database, or where the secondary dataset contained only postcode information, the Central Postcode Directory was used to map home address postcodes to higher geographies. A small proportion of records with unknown geography were apportioned based on the spatial characteristics of known records.

<b>Further Information</b>

[NISRA Mid-year Population Estimates webpage](https://www.nisra.gov.uk/statistics/population/mid-year-population-estimates)

Contact: NISRA Customer Services
02890 255156
[[e-mail]](mailto:[e-mail])
Responsible Statistician: Jonathan Harvey

<b>数据集描述</b>

注意事项：
1. 估计值系通过多种数据来源和统计模型生成。因此，对于小范围的估计值，不应将其与特定个体关联。
2. 变化成分的迁移要素主要来源于一个已知在记录年轻成年男性和从北爱尔兰流出方面存在缺陷的数据源。因此，估计值需进行调整以弥补这一不足，尽管其适用于报告的群体/地区，但不会提供确切的种群数量。更多信息请参阅统计公报中的限制部分：[NISRA 2022年中人口估计网页](https://www.nisra.gov.uk/publications/2022-mid-year-population-estimates-northern-ireland)。

<b>时间范围</b>
估计值提供的时间范围为2001年中至2022年中。

<b>方法论</b>
2022年的人口估计采用队列-成分法创建。此方法通过‘年龄增长’更新人口普查估计值，并应用有关出生、死亡和迁移的信息。更多信息请参阅：[NISRA 2022年中人口估计网页](https://www.nisra.gov.uk/publications/2022-mid-year-population-estimates-northern-ireland)。

<b>地理参照</b>
人口估计基于大量次级数据集。当完整地址可用时，使用Pointer地址数据库为每个家庭地址分配一个独特的属性参考编号（UPRN）和地理空间坐标。这些坐标可用于将地址映射到特定地理区域。当无法使用Pointer数据库为地址分配独特的属性参考编号，或次级数据集仅包含邮政编码信息时，使用中央邮政编码目录将家庭地址的邮政编码映射到较高地理区域。少量地理信息未知记录的记录基于已知记录的空间特征进行分配。

<b>更多信息</b>
[NISRA年中人口估计网页](https://www.nisra.gov.uk/statistics/population/mid-year-population-estimates)

联系方式：NISRA客户服务
电话：[phone]
电子邮件：[[e-mail]](mailto:[e-mail])
责任统计师：Jonathan Harvey