Table 1.
Definitions of “urban” and “rural”.
| Definition/construction | Strengths | Limitations | ||
|---|---|---|---|---|
| 1. |
Administrative definition |
The official designation in each country | Can be contextually specific (for example, accounting for high population densities in areas that are considered to be rural in nature) | Official definitions vary across countries (limiting the potential for cross-country comparisons) and sometimes are not clearly defined. Official categorizations may be influenced by political or other considerations. |
| 2. | Population density | A household is categorized as urban if the local population density is at least 500 persons/km2 (from WorldPop). | Analysts can set their own threshold; can be consistent across countries | As a single indicator, this does not capture multidimensional understandings of “urban” spaces. Census data may be outdated. |
| 3. | Impervious surface | A household is categorized as urban if the share of impervious surface cover is at least 2% (from the GMIS data set of Landsat). | Analysts can set their own threshold; can be consistent across countries | Small towns in low-income countries may have an urban character without the presence of impervious surfaces. This data set is available for only one year (2010). |
| 4. | Night light intensity | A household is categorized as urban if the intensity of night light is at least 8 on a scale of 0–63 (from the NOAA DMSP-OLS Nighttime Lights Time Series data set). | Analysts can set their own threshold; can be consistent across countries | Small towns in low-income countries may have an urban character even without the energy infrastructure to support night lights. As of the time of writing, the data are not available in a readily useable format beyond 2013. |
| 5 | Africapolis | The designation of urban areas is provided by Africapolis, which bases its determination on the settlement population size (≥10,000) and the distance between buildings (within 200 m). | A consistent definition is applied in all countries, using information from censuses and satellite imagery. The outline of urban areas is made available in an easy-to-use format. | The rules used to identify urban spaces cannot be adjusted by the analyst. This data set is available for one year (2015). |
| 6. | Local nonfarm economy | A household is categorized as urban if the average share of nonfarm income (excluding crop, livestock, or agricultural wage income) among the nearest 7 neighbors is at least 66%. | Explicitly measures the economic shift away from agriculture that commonly underpins the definition of “urban” spaces. | Requires detailed information on income-generating activities typically collected in resource-intensive (and infrequent) household surveys. |
| 7. | Subjective assessment | A household is categorized as urban based on subjective assessment of Google Earth images. This labor-intensive categorization was applied only to the 2014 survey wave. | Can be contextually specific and multidimensional. | This method is labor-intensive and, by definition, subjective. Research assistants found it difficult to estimate with confidence the presence of amenities in the aerial view of communities. |