Urban vs rural population using at least basic sanitation … annual in Thailand
Thailand: Urban vs rural population using at least basic sanitation … annual was 0.4183 % change on previous year in 2024. ▼ Falling
Urban vs rural population using at least basic sanitation, annual in Thailand, 2001–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
The most recent figure for urban vs rural population using at least basic sanitation, annual in Thailand is 0.4183 % change on previous year, measured in 2024. That is the lowest value across all 24 years on record.
That represents a change of down 0.4% on the previous year and down 3.6% over ten years.
Over the whole period, urban vs rural population using at least basic sanitation, annual in Thailand peaked at 0.4558 % change on previous year in 2001 and was at its lowest, 0.4183 % change on previous year, in 2024.
Thailand ranks 42nd of 186 countries on this measure, in the top quarter.
The long-run direction has been consistently falling across the 24 years of available data.
Urban vs rural population using at least basic sanitation … annual in Thailand, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 2001 | 0.4558 % change on previous year | — |
| 2002 | 0.4542 % change on previous year | -0.4% |
| 2003 | 0.4522 % change on previous year | -0.4% |
| 2004 | 0.4506 % change on previous year | -0.4% |
| 2005 | 0.4487 % change on previous year | -0.4% |
| 2006 | 0.4472 % change on previous year | -0.3% |
| 2007 | 0.4454 % change on previous year | -0.4% |
| 2008 | 0.4437 % change on previous year | -0.4% |
| 2009 | 0.442 % change on previous year | -0.4% |
| 2010 | 0.4404 % change on previous year | -0.4% |
| 2011 | 0.4386 % change on previous year | -0.4% |
| 2012 | 0.437 % change on previous year | -0.4% |
| 2013 | 0.4355 % change on previous year | -0.4% |
| 2014 | 0.4338 % change on previous year | -0.4% |
| 2015 | 0.4321 % change on previous year | -0.4% |
| 2016 | 0.4307 % change on previous year | -0.3% |
| 2017 | 0.429 % change on previous year | -0.4% |
| 2018 | 0.4274 % change on previous year | -0.4% |
| 2019 | 0.4259 % change on previous year | -0.4% |
| 2020 | 0.4244 % change on previous year | -0.4% |
| 2021 | 0.4228 % change on previous year | -0.4% |
| 2022 | 0.4213 % change on previous year | -0.3% |
| 2023 | 0.4199 % change on previous year | -0.3% |
| 2024 | 0.4183 % change on previous year | -0.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.4489 % change on previous year | 0.442 % change on previous year | 0.4558 % change on previous year | 9 |
| 2010s | 0.433 % change on previous year | 0.4259 % change on previous year | 0.4404 % change on previous year | 10 |
| 2020s | 0.4213 % change on previous year | 0.4183 % change on previous year | 0.4244 % change on previous year | 5 |
Countries ranked near Thailand
- 39 Cambodia 0.4843 % change on previous year compare
- 40 Dominican Republic 0.4744 % change on previous year compare
- 41 Somalia 0.474 % change on previous year compare
- 43 Georgia 0.3949 % change on previous year compare
- 44 Ecuador 0.3885 % change on previous year compare
- 45 Tuvalu 0.3758 % change on previous year compare
More population data for Thailand
- Population regions with projections, annual growth rate -0.7473 % change on previous year (2100)
- Urban and rural population 2050, annual growth rate -1.57 % change on previous year (2050)
- Population long run with projections, annual growth rate -0.7473 % change on previous year (2100)
- Un population 2024 vs 2022, annual growth rate -0.8771 % change on previous year (2100)
- Africa's Development Dynamics (AfDD) Table 05 - Demographic estimates 67,880 Persons (2050)
- Africa's Development Dynamics (AfDD) Table 03 - Annual population -0.0154 Percent per annum (2030)
- Projected population under age 5, annual growth rate -0.4671 % change on previous year (2100)
- Population growth rate -0.749 (2100)
- Population density 89.17 (2100)
- Projected population under age 5 1.67 million (2100)
Frequently asked questions
- What is urban vs rural population using at least basic sanitation, annual in Thailand?
- Urban vs rural population using at least basic sanitation, annual in Thailand was 0.4183 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest urban vs rural population using at least basic sanitation, annual recorded in Thailand?
- The highest recorded value was 0.4558 % change on previous year in 2001.
- What is the lowest urban vs rural population using at least basic sanitation, annual recorded in Thailand?
- The lowest recorded value was 0.4183 % change on previous year in 2024.
- How does Thailand rank for urban vs rural population using at least basic sanitation, annual?
- Thailand ranks 42nd out of 186 countries with data for 2024.
- Is urban vs rural population using at least basic sanitation, annual rising or falling in Thailand?
- Over the last ten years it is down 3.6%. The long-run trend across the full record is falling.
- Where does this Thailand data come from?
- The figures come from Statizoid (derived), published as part of Urban vs rural population using at least basic sanitation, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Urban vs rural population using at least basic sanitation. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Urban vs rural population using at least basic sanitation Our World in Data
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
The year-on-year percentage change in Urban vs rural population using at least basic sanitation. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.