GeoDevelopment Observatory of Bolivia / Indicators
SDG 9: Industry, innovation and infrastructure
The SDG 9 index of the Municipal Atlas of the SDGs and its five indicators of road and rail links, phone access, mobile antennas and school technology, for every municipality.
The SDG 9 (Industry, innovation and infrastructure) index of the Municipal Atlas of the Sustainable Development Goals in Bolivia 2020 (SDSN Bolivia) and the five indicators behind it, for all 339 municipalities: the number of railways and primary roads of the national trunk network entering or leaving the municipality (2019, Conservación Internacional Bolivia), the share of households with a fixed or mobile phone (2012 census, INE), and three AGETIC measures for 2016: mobile radio base stations per 1,000 people, Kuaa laptops per 100 school-age people and the share of public schools with technology floors. The index runs from 0 (worst) to 100 (targets met): each indicator is rescaled linearly between a worst and a best value, capped at 0 and 100, and the index is the simple mean of the available rescaled indicators. Schools with technology floors is missing for 16 municipalities, whose index averages the other four. The components refer to different years, so the index is stored at 2019, the latest of them. The Atlas population (2020) and urbanization rate (2012) are included as context.
Variables of sdg09
index_sdg9: Industry and infrastructure index (0-100). SDG 9 (Industry, innovation and infrastructure) index of the Municipal Atlas of the SDGs in Bolivia 2020, on a 0-100 scale where 100 means the goal's targets are met (best value) and 0 the worst situation. Following the global SDG Index method (Lafortune et al., 2018), each of its 5 indicators is rescaled linearly to 0-100 between a worst value (generally the 2.5th-percentile tail of the municipal distribution) and a best value (the SDG target where one exists, otherwise the average of the five best municipalities, or expert judgement), with the direction set so that higher is always better and values beyond the bounds capped at 0 or 100; the index is the simple (equal-weight) mean of the available rescaled indicators. Components: Railways and primary roads (count); Kuaa laptops per 100 school-age people; Schools with technology floors (%); Households with a phone (%); Radio base stations per 1,000 people. The components refer to different years; the observatory stores the index at 2019, the latest reference year among them.sdg9_1_routes: Railways and primary roads (count). Number of railways and primary roads of the national trunk network (Red Fundamental) entering or leaving the municipality, 2019, computed by Conservación Internacional Bolivia from the 2019 Red Fundamental map. Ranges from 0 (85 unconnected municipalities) to 6 (Caracollo). In the SDG 9 index it is normalised linearly between 0 (worst; lower percentile) and 2 (best; expert judgement; 2 or more routes score 100), values beyond the bounds capped.sdg9_5_cd: Kuaa laptops per 100 school-age people. Kuaa laptops (made by a state company and delivered only to public-school students) per 100 inhabitants of school age (6-19), stock at the end of 2016, from AGETIC (2018), Estado TIC. In the SDG 9 index it is normalised linearly between 0 (worst; lower percentile) and 6.5 (best; average of the top 5), values beyond the bounds capped.sdg9_5_eutf: Schools with technology floors (%). Percentage of (public) educational units with "pisos tecnológicos" (technology rooms and equipment), stock at the end of 2016, from AGETIC (2018). Missing for 16 municipalities. In the SDG 9 index it is normalised linearly between 0 (worst; 2.5th-percentile tail) and 80 (best; average of the top 5), values beyond the bounds capped.sdg9_c_mnc: Households with a phone (%). Percentage of households with a fixed or mobile telephone, 2012, official INE indicator from the 2012 Population and Housing Census (INE). It measures household phone access, not network coverage. In the SDG 9 index it is normalised linearly between 8.4 (worst; 2.5th-percentile tail) and 100 (best; SDG target), values beyond the bounds capped.sdg9_c_drb: Radio base stations per 1,000 people. Number of mobile radio base stations (which carry the signal for mobile internet) per 1,000 inhabitants in 2016, Atlas calculation from AGETIC (2018) data. In the SDG 9 index it is normalised linearly between 0.3 (worst; 2.5th-percentile tail) and 11.4 (best; average of the top 5), values beyond the bounds capped.population_2020: Population (persons). Estimated municipal population in 2020 (persons), as printed in the Atlas municipal profiles ("Población estimada, 2020"). The Atlas does not name the source; the 339 values sum to 11,633,371, exactly INE's 2020 national population projection (Revisión 2020 series), so they are presumably INE's municipal projections. Not an input of any goal index. Differs from the gridded WorldPop-based pop dataset.urbano_2012: Urbanization rate (%). Share of the municipal population living in urban areas in 2012 (%), as printed in the Atlas municipal profiles ("Tasa de urbanización, 2012"), from the 2012 Population and Housing Census (INE). INE counts as urban the localities with 2,000 or more inhabitants, which is why 175 municipalities have a rate of 0. Not an input of any goal index (the Atlas treats 15 almost fully urban municipalities as having no applicable farm indicators for SDG 2; 11 of them are 95% or more urban by this rate, while Sucre, Tiquipaya and Potosí are 91–92% and Yunguyo de Litoral 0%).
Sources
- Andersen, L. E., Canelas, S., Gonzales, A., & Peñaranda, L. (2020). Atlas municipal de los Objetivos de Desarrollo Sostenible en Bolivia 2020. La Paz: Universidad Privada Boliviana, SDSN Bolivia. https://unsdsn.org/resources/municipal-atlas-of-the-sdgs-in-bolivia-2020
- Mendez, C., Gonzales, E., Leoni, P., Andersen, L., & Peralta, H. (2026). DS4Bolivia: A Data Science Repository to Study GeoSpatial Development in Bolivia [Data set]. GitHub. https://github.com/quarcs-lab/ds4bolivia