SDG Variables - Detailed Indicators
Overview
This directory contains detailed Sustainable Development Goal (SDG) variables for Bolivia's 339 municipalities.
Unlike the aggregated SDG indices in sdg/, this dataset includes the underlying individual indicators that compose each SDG index, providing granular data for in-depth analysis.
Files
sdgVariables.csv
Contains 64 detailed SDG variables plus population and urbanization data for all 339 municipalities.
Variable Dictionary
| Variable Name |
Description |
| asdf_id |
Unique spatial identifier for joining datasets |
| population_2020 |
Population 2020 |
| urbano_2012 |
Urbanization rate, 2012 (% of population) |
SDG 1: No Poverty
| Variable Name |
Description |
| sdg1_1_eepr |
Extreme energy poverty rate, 2016 (% of houses) |
| sdg1_1_ubn |
Unsatisfied basic needs, 2012 (% of population) |
| sdg1_2_mpi |
Multidimensional poverty index, 2012 |
| sdg1_4_abs |
Access to the 3 basic services, 2012 (% of households) |
SDG 2: Zero Hunger
| Variable Name |
Description |
| sdg2_2_cmc |
Chronic malnutrition in children (< 5 years), 2016 (%) |
| sdg2_2_oww |
Obesity in women (15-49 years), 2016 (%) |
| sdg2_4_pual |
Average area per Production Unit Agriculture and Livestock, 2013 (ha) |
| sdg2_4_td |
Tractor density, 2013 (per 1,000 UPAs) |
SDG 3: Good Health and Well-being
| Variable Name |
Description |
| sdg3_1_idca |
Institutional childbirth coverage, average 2008-2012 (%) |
| sdg3_2_imr |
Infant mortality rate (< 1 year), 2016 (per 1,000 live births) |
| sdg3_2_mrc |
Children mortality rate (< 5 years), 2016 (per 1,000 live births) |
| sdg3_3_cdir |
Chagas disease infestation rate, 2017 (% of households) |
| sdg3_3_di |
Dengue incidence, 2018 (per 10,000 population) |
| sdg3_3_imr |
Malaria incidence, average 2014-17 (per 1,000 population) |
| sdg3_3_ti |
Tuberculosis incidence, 2017 (per 100,000 population) |
| sdg3_3_hivi |
HIV incidence, average 2014-17 (per 1,000,000 population) |
| sdg3_7_afr |
Adolescent fertility rate (15-19 years), 2012 (births per 1,000 women) |
SDG 4: Quality Education
| Variable Name |
Description |
| sdg4_1_ssdrm |
Secondary school dropout rate, male, 2017 (% of enrolled) |
| sdg4_1_ssdrf |
Secondary school dropout rate, female, 2017 (% of enrolled) |
| sdg4_4_phe |
Population with higher education (>= 19 years), 2012 (%) |
| sdg4_6_lr |
Literacy rate (>= 15 years), 2012 (%) |
| sdg4_c_qti |
Qualified teachers at the initial level, 2016 (%) |
| sdg4_c_qts |
Qualified teachers at the secondary level, 2016 (%) |
SDG 5: Gender Equality
| Variable Name |
Description |
| sdg5_1_gpsd |
Gender parity in school dropouts in secondary school, 2017 |
| sdg5_1_gpyp |
Gender parity in years of education of young people (25-35 years old), 2012 |
| sdg5_1_gpmpi |
Gender Parity in the Multidimensional Poverty Index, 2012 |
| sdg5_5_gpop |
Gender parity in the overall participation rate (>= 10 years), 2012 |
SDG 6: Clean Water and Sanitation
| Variable Name |
Description |
| sdg6_1_dwc |
Drinking water coverage, 2017 (% of population) |
| sdg6_2_sc |
Sanitation coverage, 2017 (% of population) |
| sdg6_3_wwt |
Wastewater treatment, 2017 (% of wastewater) |
SDG 7: Affordable and Clean Energy
| Variable Name |
Description |
| sdg7_1_ec |
Electricity coverage, 2012 (% of population) |
| sdg7_1_rec |
Residential electricity consumption per capita, 2016 (kWh/person/year) |
| sdg7_1_cce |
Clean cooking energy, 2012 (% of households) |
| sdg7_3_co2epc |
CO2 emissions per capita by energy, 2016 (tCO2/person/year) |
SDG 8: Decent Work and Economic Growth
| Variable Name |
Description |
| sdg8_4_rem |
Residential electric meters with zero consumption, 2016 (%) |
| sdg8_5_oprm |
Overall participation rate males (>= 10 years), 2012 (%) |
| sdg8_5_ofrm |
Overall female participation rate (>= 10 years), 2012 (%) |
| sdg8_6_mlm |
Men who do not study or participate in the labor market (15-24 years), 2012 (%) |
| sdg8_6_wlm |
Women who do not study or participate in the labor market (15-24 years), 2012 (%) |
| sdg8_10_dbb |
Density of bank branches, 2018 (per 100,000 inhabitants) |
| sdg8_11_idi |
Index of the degree of intermediation in migration, 2012 |
SDG 9: Industry, Innovation and Infrastructure
| Variable Name |
Description |
| sdg9_1_routes |
Number of railways/primary roads entering/leaving the municipality, 2019 |
| sdg9_5_cd |
Kuaa computers delivered, 2016 (per 100 school-age population, 6-19 years) |
| sdg9_5_eutf |
Educational units with technological floors, 2016 (%) |
| sdg9_c_mnc |
Fixed and mobile network coverage, 2012 (% of households) |
| sdg9_c_drb |
Density of radio bases, 2016 (number of radio bases per 1,000 inhabitants) |
SDG 10: Reduced Inequalities
| Variable Name |
Description |
| sdg10_2_gcye |
GINI coefficient of years of education, 2012 |
| sdg10_2_iec |
Inequality in electricity consumption, 2016 |
| sdg10_2_nssp |
Non-Spanish speaking population (>= 3 years), 2012 (%) |
SDG 11: Sustainable Cities and Communities
| Variable Name |
Description |
| sdg11_1_hocr |
Overcrowding rate, 2012 (% of households) |
| sdg11_1_hno |
Households that do not have a toilet, bathroom or latrine, 2012 (%) |
| sdg11_2_samt |
Seats available for mass transit, 2017 (per 1,000 inhabitants) |
SDG 13: Climate Action
| Variable Name |
Description |
| sdg13_1_ccvi |
Climate change vulnerability Index, 2015 |
| sdg13_2_tco2e |
Total CO2 emissions per capita, 2016 (tCO2/person/year) |
| sdg13_2_dra |
Deforestation rate, average 2016-2018 (% of forest area 2015) |
SDG 15: Life on Land
| Variable Name |
Description |
| sdg15_1_pa |
Protected areas, 2019 (% of the municipality's land area) |
| sdg15_5_blr |
Biodiversity loss rate due to deforestation, average 2016-2018 |
SDG 16: Peace, Justice and Strong Institutions
| Variable Name |
Description |
| sdg16_1_rhr |
Registered homicide rate, average 2015-2017 (per 100,000 inhabitants) |
| sdg16_6_pbec |
Programmed budget execution capacity, 2017 (%) |
| sdg16_9_cr |
Children registered in the civil registry (< 5 years), 2012 (%) |
SDG 17: Partnerships for the Goals
| Variable Name |
Description |
| sdg17_1_pmtax |
Proportion of municipal revenues that come from local taxes, 2017 (%) |
| sdg17_5_pipc |
Public investment per capita, 2017 (Bs./person) |
Usage
This dataset is used for:
- Detailed SDG Analysis: Examine specific indicators that drive overall SDG performance
- Policy Targeting: Identify specific areas of intervention (e.g., which health indicators need improvement)
- Comparative Studies: Compare municipalities on specific metrics rather than aggregated indices
- Correlation Analysis: Study relationships between specific variables across SDGs
- Machine Learning: Use granular variables as features for predictive models
Example Code
You can run the examples below in 
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
url = "https://raw.githubusercontent.com/quarcs-lab/ds4bolivia/master/sdgVariables/sdgVariables.csv"
df_sdg_vars = pd.read_csv(url)
poverty_vars = ['sdg1_1_eepr', 'sdg1_1_ubn', 'sdg1_2_mpi', 'sdg1_4_abs']
df_poverty = df_sdg_vars[['asdf_id'] + poverty_vars]
corr_matrix = df_poverty[poverty_vars].corr()
sns.heatmap(corr_matrix, annot=True, cmap='coolwarm')
plt.title('Correlation between SDG 1 Poverty Indicators')
plt.show()
high_malnutrition = df_sdg_vars[df_sdg_vars['sdg2_2_cmc'] > 30]
print(f"Municipalities with >30% chronic malnutrition: {len(high_malnutrition)}")
gender_parity_vars = [col for col in df_sdg_vars.columns if 'sdg5' in col]
df_gender = df_sdg_vars[['asdf_id'] + gender_parity_vars]
Data Source
SDG indicators are originally constructed by:
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
Available at: https://atlas.sdsnbolivia.org
Relationship to Other Datasets
- sdg/ - Contains aggregated SDG indices (composite scores)
- regionNames/ - Administrative names for municipalities
- datasets/ - Merged datasets including SDG indices and satellite data
Join Key
Use asdf_id to join this dataset with other datasets in the repository.
Notes
- This dataset provides the granular indicators that compose the SDG indices
- Some variables have missing values for certain municipalities due to data availability
- Years of measurement vary by indicator (2012-2019)
- Units and scales differ across variables - always check the description
Access via Hugging Face
This folder is mirrored to the public Hugging Face dataset
cmg777/project2026e.
Browse / download in a browser:
https://huggingface.co/datasets/cmg777/project2026e/tree/main/sdgVariables
Load a file in Python (pick any one):
import sys, pandas as pd
sys.path.append("code")
from hf_data import data_path
df = pd.read_csv(data_path("sdgVariables/sdgVariables.csv"))
from huggingface_hub import hf_hub_download
df = pd.read_csv(hf_hub_download("cmg777/project2026e", repo_type="dataset",
filename="sdgVariables/sdgVariables.csv"))
from datasets import load_dataset
ds = load_dataset("cmg777/project2026e",
data_files="sdgVariables/sdgVariables.csv", split="train")
