This table provides metadata for the actual indicator available from Kenya statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from Kenyan statistics, this table should be consulted for information on national methodology and other Kenyan-specific metadata information.
Goal |
Goal 5: Achieve gender equality and empower all women and girls |
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Target |
Target 5.a: Undertake reforms to give women equal rights to economic resources, as well as access to ownership and control over land and other forms of property, financial services, inheritance and natural resources, in accordance with national laws |
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Indicator |
Indicator 5.a.1: (a) Proportion of total agricultural population with ownership or secure rights over agricultural land, by sex; and (b) share of women among owners or rights-bearers of agricultural land, by type of tenure |
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Metadata update |
2024 |
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Related indicators |
SDG indicator 1.4.2. |
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Organisation |
Kenya National Bureau of Statistics |
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Contact person(s) |
Senior Manager - Research and Development |
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Contact organisation unit |
Research and Development |
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Contact person function |
Undertake research on specialized statistical areas and new areas of statistics methodology, undertake data entry, processing, analysis and dissemination, generate development related indicators data; and prepare relevant Chapters in the Annual Economic Surveys and Statistical Abstract |
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Contact phone |
+254-202-911-000 |
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Contact mail |
30266 -00100 GPO Nairobi-Kenya |
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Contact email |
dscm@knbs.or.ke |
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Definition and concepts |
Land ownership In the context of indicator 5.a.1 ‘land ownership’ is defined as secure tenure rights, i.e., rights to use, manage and control land, fisheries and forests. Agricultural land Land is considered ‘agricultural land’ according to its use. The classes and definitions of land use are based on the classification of land use for the agricultural census recommended by the World Programme for the Census of Agriculture 2020. Secure tenure rights: comprised of two sub-components: (i) legally recognized documentation and (ii) perception of the security of tenure, which are both necessary to provide a full measurement of tenure security. The basic concepts and terms essential to collecting data needed to compute SDG indicator 5.a.1 are the following:
The indicator consists of two sub-indicators. Sub-indicator 5.a.1 (a):
Sub-indicator 5.a.1 (a) is a prevalence measure. It measures the prevalence of people in the agricultural population with ownership or secure rights over agricultural land, disaggregated by sex. The above formula was used to compute the indicator, note that both the numerator and denominator are based women,( Data is only for women). Sub indicator 5.a.1 (b) cannot be computed due to data un availability for both genders: |
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Unit of measure |
5.a.1 (a): percent (%) |
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Data sources |
2022 Kenya Continuous Household Survey (KCHS) Micro data, Women Economic Module (WEE) |
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Data collection method |
WEE module was incorporated in 2022 KCHS. Survey and sampling design was done to identify clusters,Kist method was used to sample women aged >18 years. Survey tools were developed, pretesting and finalization of questionnaires, recruitment and training of field staff, field data collection and capture through personal interviews, data collection was done using CAPI, Data was cleaning and analyzed |
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Data collection calendar |
One off survey year 2022 |
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Data release calendar |
N/A |
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Data providers |
Survey data collected by KNBS |
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Data compilers |
Kenya National Bureau of Statistics |
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Institutional mandate |
According to the statistics act 2006 , KNBS is the principal agency of the Government for collecting, analyzing and disseminating statistical data in Kenya and the custodian of official statistical information |
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Other methodological considerations |
Kish Grid method in selection of eligeable women. Data for this indicator is based on asset ownership |
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Rationale |
Indicator 5.a.1 aims to monitor the gender balance on ownership/secure rights over agricultural land. Sub-indicator (a) and sub-indicator (b) are based on the same data and they monitor ownership/rights from two different angles. While sub-indicator (a) uses the total female agricultural population as reference population, and it tells us how many female own land, sub-indicator (b) focuses on the agricultural population with land ownership/secure rights, and it tells us the no. of women with such rights. Therefore, it is sufficient to have:
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Comment and limitations |
Data available for women, no data on men therefore the indicator is only computed for adult women, in future surveys information on land ownership and secure rights ownership should be collected for both Men and Women |
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Method of computation |
The computation of this indicator involved women considered as owners or holders of secure rights to agricultural land all the women in the reference population who:
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Validation |
KNBS is responsible to check the syntaxes used in the computation of the indicator as well as the questions, data quality checked and approved using KeSQAF. |
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Methods and guidance available to countries for the compilation of the data at the national level |
N/A |
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Quality management |
KeSQAF and Data Dissemination policy is followed, The quality of the output is controlled by a series of steps put in place. This includes well designed data capture methods using Computer Aided Personal Interviews, proper training of data collectors, use of internationally accepted methods by our knowledgeable data compilers and peer reviewing of reports before publication |
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Quality assurance |
The Bureau collaborates with stakeholders to discus and agree on methods to be followed to ensure the product is of high quality |
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Quality assessment |
The findings are compared with other reports like KPHC to validate the data, several analysts computes the indicator separately and compared, Data Quality Assessment Framework and ISO 9001:2015 standards before dissemination |
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Data availability and disaggregation |
The microdata and the report is always available on KNBS Website, the data is disaggregated at National, Rural/Urban and County |
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Comparability/deviation from international standards |
No comparison done so far. |
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References and Documentation |
2022 Kenya Continuous Household Survey microdata Visit https://Knbs.or.ke/download |
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Metadata last updated | Aug 28, 2025 |