Social Progress Index

Data Source and Methodology

The Social Progress Index: - Based on 50+ individual indicators across 12 domains - Uses data from government agencies, NGOs, and research institutions - Aggregated into 3 main dimensions and 12 subdimensions - Indexed to 0-100 scale for comparability - Methodologically rigorous with transparent weighting

For detailed methodology, visit Social Progress Imperative.

1. all

Complete Social Progress Index with all dimensions and indicators.

• Coverage: Comprehensive assessment across all domains
• Variables: All indicators and index scores
• Use cases: Holistic development analysis, overall progress tracking, multi-dimensional comparisons

2. life_quality

Indicators related to quality of life and well-being.

• Variables: Healthcare quality, life expectancy, nutrition, shelter quality
• Use cases: Health and wellness analysis, living standards assessment, healthcare quality evaluation

3. sanit_habit

Sanitation and habitat indicators.

• Variables: Access to improved sanitation, water quality, housing conditions
• Use cases: Infrastructure assessment, water and sanitation access analysis, housing quality evaluation

4. violence

Public safety and violence indicators.

• Variables: Crime rates, safety perceptions, homicide data
• Use cases: Public safety analysis, violence hotspot identification, security trends

5. educ

Education and literacy indicators.

• Variables: School enrollment, literacy rates, educational attainment, quality of education
• Use cases: Education access analysis, literacy trends, human capital assessment

6. communic

Communication and connectivity indicators.

• Variables: Internet access, mobile phone coverage, communication infrastructure
• Use cases: Digital divide analysis, connectivity assessment, tech adoption patterns

7. mortality

Health and mortality indicators.

• Variables: Child mortality, maternal mortality, mortality rates by cause
• Use cases: Health outcomes analysis, maternal/child health assessment, disease burden evaluation

8. deforest

Environmental and deforestation indicators.

• Variables: Forest cover, deforestation rates, environmental sustainability
• Use cases: Forest monitoring, environmental assessment, climate/conservation analysis

1. dataset

Selects which dimension(s) to download.

dataset = "all"         # All dimensions
dataset = "life_quality" # Quality of life metrics
dataset = "sanit_habit"  # Sanitation and habitat
dataset = "violence"     # Public safety and violence
dataset = "educ"         # Education indicators
dataset = "communic"     # Communication and connectivity
dataset = "mortality"    # Health and mortality
dataset = "deforest"     # Environmental and deforestation

2. raw_data

Controls whether to download original or processed data.

• TRUE: Returns raw data exactly as published
• FALSE: Returns treated data with standardized English variable names and formatting

raw_data = FALSE  # logical

3. time_period

Specifies which assessment year(s) to download.

Available years: 2014, 2018, 2021, 2023

time_period = 2023              # Most recent
time_period = c(2018, 2023)     # Specific years
time_period = c(2014, 2018, 2021, 2023)  # Multiple years

4. language

Output language for variable names and labels.

• "pt": Portuguese
• "eng": English

language = "eng"  # character string

Index Scales

• 0-100 scale: All indices standardized to 0-100 for comparison
• Higher is better: Across all dimensions except deforestation (where higher forest index = better)
• Comparable across dimensions: Standardized scale allows cross-dimension comparison

Dimensions and Indicators

Each dimension contains multiple indicators: - Life quality: 4-6 indicators - Sanitation/habitat: 3-5 indicators
- Violence: 3-4 indicators - Education: 3-4 indicators - Communication: 2-3 indicators - Mortality: 3-4 indicators - Deforestation: 2-3 indicators

(Exact number varies by year and methodology)

Temporal Comparisons

When comparing across years (2014, 2018, 2021, 2023): - Methodology may have evolved between assessments - New indicators may have been added - Some municipalities may not have data in all years - Use caution comparing very old (2014) with recent (2023) data

Missing Data

• Some municipalities may lack data for specific indicators
• Remote or less accessible areas may have less complete data
• Use na.rm = TRUE in aggregations to handle missing values

Geographic Coverage

• Covers 570+ municipalities in the Legal Amazon
• Includes all states with Amazon territory
• Some frontier/protected areas may lack complete data