U.S. bi-national and heritage community · source mapping unresolved
U.S.–São Tomé and Príncipe community
A country-specific aggregate research profile. It does not identify dual citizens and should not be treated as a description of every person.
What this record observesForeign birth: false · reported ancestry: false · citizenship status available: false · confirmed dual citizenship: false.
Community at a glance
Where this community lives
State count and share view. Location quotient and state-relative fields are available in the underlying state-profile asset.
State presence cannot be reported because the source mapping or sample is insufficient.
| State | Estimate | Share of community | Location quotient | Reliability |
|---|
Metropolitan profiles are withheld in this run because PUMS does not identify metropolitan areas and no research PUMA-to-metro allocation was authorized.
Race, ethnicity, and ancestry
Race, Hispanic or Latino origin, ancestry, country of birth, citizenship, and language remain separate concepts. These are aggregate estimates.
Race distribution
Not enough reliable data.
Hispanic or Latino origin
Not enough reliable data.
Ancestry composition is not published because the available country crosswalk is pending research deterministic validation. Hispanic or Latino origin is not treated as race.
Age, households, and economic structure
Age
Not enough reliable data.
Sex as reported by the source
Not enough reliable data.
Nativity and citizenship
Not enough reliable data.
Period of entry
Not enough reliable data.
Age at migration
Not enough reliable data.
Language and English proficiency
Not enough reliable data.
Household size
Not enough reliable data.
Household type
Not enough reliable data.
Multigenerational household
Not enough reliable data.
Households with children
Not enough reliable data.
Education
Not enough reliable data.
Employment
Not enough reliable data.
Occupation
Not enough reliable data.
Industry
Not enough reliable data.
Personal income
Not enough reliable data.
Poverty
Not enough reliable data.
Health insurance
Not enough reliable data.
Disability
Not enough reliable data.
Housing tenure
Not enough reliable data.
Housing-cost burden
Not enough reliable data.
Residential tenure length
Not enough reliable data.
Residential mobility
Not enough reliable data.
How this community differs across states
Highest community presence
- Not enough reliable data
Highest location quotient
- Not enough reliable data
Closest surrounding demographic contexts
- Not enough reliable data
Highest presence and closest surrounding context answer different questions and are never substituted for one another.
How this community compares with the United States
State-context comparisons use the same source period and composition schema. National community averages should not be treated as characteristics of any person.
The U.S.–São Tomé and Príncipe community contains materially different racial, ethnic, generational, linguistic, geographic, household, and socioeconomic profiles. National averages should not be treated as characteristics of every person.
Closest demographic peers
Peer rankings use population and settlement, migration, race and ethnicity, age and household, education and economic structure, language, and housing as separately disclosed dimensions.
Not enough reliable data
No public demographic peer ranking passes the minimum sample, coverage, and shared-dimension gates.
Largest measured differences
The comparison asset reports the lowest demographic structural similarities without describing communities as enemies, opposites, incompatible groups, or unlikely allies.
- Not enough reliable data
Data quality
- Profile state
- source_mapping_unresolved
- Reliable dimensions
- 0
- Observed basis
- Country of birth in the 2020–2024 ACS 5-year PUMS
Suppressed cells remain labeled. Missing values and shared zeroes do not create similarity.
What should not be inferred
Aggregate demographic similarity does not establish agreement, alliance, representation, consent, endorsement, political behavior, nationality, dual citizenship, religion, caste, tribe, sect, or individual identity.
How the comparison was calculated
Dimension-specific categorical distributions use square-root Jensen–Shannon distance; ordered distributions use bounded Wasserstein distance; population totals use log-scaled distance; and state footprints use Jensen–Shannon distance. Available reliable dimensions are combined with versioned weights. KNN is a retrieval method, not a public claim about alliance.