This table provides metadata for the actual indicator available from Turkey statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from Turkey statistics, this table should be consulted for information on national methodology and other Turkey-specific metadata information.
| Target name | By 2030, provide access to safe, affordable, accessible and sustainable transport systems for all, improving road safety, notably by expanding public transport, with special attention to the needs of those in vulnerable situations, women, children, persons with disabilities and older persons |
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| Indicator name |
Indicator a) Proportion of population that has convenient access to public transport Indicator b) Population that has convenient access to public transport by provinces |
| Global / Proxy indicator | Global indicator |
| Description of indicator |
Indicator a) This indicator covers the percentage of population who declares that can easily access to public transport. It aims to complement the GIS data based on the responses of TurkStat, Income and Living Conditions Survey. Indicator b) Indicator data has been calculated from the compilation based on open data sources since there is no central geographic data registry system yet. The access to public transport is considered convenient when an officially recognized stop is accessible within a distance of 0.5 km from a reference point such as a home, school, work place, market, etc. Additional criteria for defining public transport that is convenient include: i. Public transport accessible to all special-needs customers, including those who are physically, visually, and / or hearing-impaired, as well as those with temporary disabilities, the elderly, children and other people in vulnerable situations. ii. Public transport with frequent service during peak travel times iii. Stops present a safe and comfortable station environment |
| Unit | (%) |
| Available disaggregation | Province level |
| Calculation |
a) (Population that can access "easy" or "very easy" to public transport services / Total population) * 100
b) (Population living within 0.5 km / 1 km of public transportation) / Total population in the city’s grids * 100 Buffer zones were created at 500 meters around bus stops, dolmuş and minibus routes, and at 1 kilometer around metro and ferry stops. These buffer layers were merged to form a combined area. Population grids intersecting this combined buffer area were identified. For each city, the population within these grids was calculated as a percentage of the total grid population to estimate the population with access to public transportation. |
| Comparability |
a) Population density grids obtained by the decomposition method in 2019, and population density grids created by the aggregation method by going up from the address points in 2020 were used. Thus data for 2019 and 2020 is not comparable. b) Produced in full compliance with global metadata. |
| Revision | - |
| Other information | For indicator b: The accessibility distance for metro and sea transportation stops is calculated as 1 km, since they have a higher capacity compared to other public transportation options. |
| Data source |
a) TurkStat, Income and Living Conditions Survey b) TurkStat, Geographic Information Systems (Based on Open Data Sources) 1. Municipalities Public Transportation Data 2. Population Density Grids (2023) 3. Provincial Borders (General Directorate of Mappin |
| Data source link | https://data.tuik.gov.tr/Kategori/GetKategori?p=gelir-yasam-tuketim-ve-yoksulluk-107&dil=2 |
| Sample coverage | The sampling frame is based on Address Based Population Register System and National Address Database which was established in 2007. From this linked system, clusters (blocks) involving approximately 100 dwelling addresses (between 80 and 120) are constructed and this blocked list is defined as the sampling frame of EU SILC survey. The register system is updated twice in the year. Addresses of the institutional population are not included in the sampling frame. |
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| Sample size |
In the 2019 Income and Living Conditions Survey, a total of 26 732 households were visited. Of these households; A survey was conducted with 24 924 of them, and the remaining 1 808 households could not be surveyed for various reasons.
In the 2020 Income and Living Conditions Survey, a total of 27 437 households were visited. Of these households; A survey was conducted with 25 706 of them, and the remaining 1 731 households could not be surveyed for various reasons. In the 2021 Income and Living Conditions Survey, a total of 28 064 households were visited. Of these households; A survey was conducted with 26 289 of them, and the remaining 1 775 households could not be surveyed for various reasons. In the 2022 Income and Living Conditions Survey, a total of 27 918 households were visited. Of these households; A survey was conducted with 26 436 of them, and the remaining 1 482 households could not be surveyed for various reasons. In the 2023 Income and Living Conditions Survey, a total of 27 825 households were visited. Of these households; A survey was conducted with 24 932 of them, and the remaining 2 893 households could not be surveyed for various reasons. In the 2024 Income and Living Conditions Survey, a total of 27 401 households were visited. Of these households; A survey was conducted with 25 925 of them, and the remaining 1 476 households could not be surveyed for various reasons. |
| Interview method |
Computer asisted personal interview (CAPI) method is applied in 2019. Telephone asisted personal interview (CATI) method is applied in 2020. Computer asisted personal interview (CAPI) method is applied in 2021. Computer asisted personal interview (CAPI) method is applied in 2022. Computer asisted personal interview (CAPI) method is applied in 2023. Computer asisted personal interview (CAPI) method is applied in 2024. |
| Reference period for application of survey |
The reference period for income information is "the previous calendar year". So, the income information in the 2019 application is for 2018.
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| Field survey time and duration | March - July period of the related year |