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U.S. bi-national and heritage community · eligible high reliability

U.S.–Montenegro 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: true · reported ancestry: false · citizenship status available: true · confirmed dual citizenship: false.

Community at a glance

Observed country-of-birth population15,504Margin of error ± 1,603
Foreign-born estimate15,010Margin of error ± 1,579
Unweighted sample619Reliability: high
Citizenship compositionNaturalized Us Citizen 67.8% · Not Us Citizen 29.1%Status in the aggregate cohort, not loyalty or civic commitment
Ancestry-linked estimateNot availableCrosswalk remains under governance review
Leading statesNew York, Michigan, New JerseyPresence, not demographic resemblance
Leading metrosNot availableNo research PUMA-to-metro allocation
Source period2020–2024ACS 5-year PUMS

Where this community lives

State count and share view. Location quotient and state-relative fields are available in the underlying state-profile asset.

New York/NY7,577 · 48.9%
Michigan/MI2,837 · 18.3%
New Jersey/NJ1,128 · 7.3%
Illinois/IL946 · 6.1%
Connecticut/CT737 · 4.8%
California/CA430 · 2.8%
Accessible state presence table
StateEstimateShare of communityLocation quotientReliability
New York/NY7,57748.9%8.244904moderate
Michigan/MI2,83718.3%6.081292limited
New Jersey/NJ1,1287.3%2.607869limited
Illinois/IL9466.1%1.609778limited
Connecticut/CT7374.8%4.392573suppressed
California/CA4302.8%0.236437suppressed

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

Asian AloneSuppressed
Unweighted sample 2; public estimate withheld.
Some Other Race AloneSuppressed
Unweighted sample 2; public estimate withheld.
Two Or More RacesSuppressed
Unweighted sample 9; public estimate withheld.
White Alone97.5%
Estimate 15,121 ± 1,548; unweighted sample 606.

Aggregate estimates; reliability: limited.

Hispanic or Latino origin

Not Hispanic Or Latino100.0%
Estimate 15,504 ± 1,603; unweighted sample 619.

Aggregate estimates; reliability: high.

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

18 To 3410.5%
Estimate 1,631 ± 379; unweighted sample 78.
35 To 4926.9%
Estimate 4,163 ± 767; unweighted sample 151.
50 To 6442.1%
Estimate 6,521 ± 957; unweighted sample 248.
65 And Over19.2%
Estimate 2,973 ± 698; unweighted sample 131.
Under 18Suppressed
Unweighted sample 11; public estimate withheld.

Aggregate estimates; reliability: limited.

Sex as reported by the source

Female48.6%
Estimate 7,538 ± 908; unweighted sample 305.
Male51.4%
Estimate 7,966 ± 955; unweighted sample 314.

Aggregate estimates; reliability: high.

Nativity and citizenship

Born Abroad Of Us Parent3.2%
Estimate 494 ± 213; unweighted sample 24.
Naturalized Us Citizen67.8%
Estimate 10,506 ± 1,333; unweighted sample 423.
Not Us Citizen29.1%
Estimate 4,504 ± 759; unweighted sample 172.

Aggregate estimates; reliability: high.

Period of entry

2010 To 201911.3%
Estimate 1,745 ± 389; unweighted sample 76.
2020 Or LaterSuppressed
Unweighted sample 15; public estimate withheld.
Before 201086.9%
Estimate 13,466 ± 1,518; unweighted sample 528.

Aggregate estimates; reliability: limited.

Age at migration

18 To 3448.1%
Estimate 7,465 ± 851; unweighted sample 310.
35 To 4911.5%
Estimate 1,788 ± 559; unweighted sample 69.
50 And OverSuppressed
Unweighted sample 16; public estimate withheld.
Under 1838.7%
Estimate 6,005 ± 964; unweighted sample 224.

Aggregate estimates; reliability: limited.

Language and English proficiency

English Only10.8%
Estimate 1,668 ± 463; unweighted sample 68.
Not At AllSuppressed
Unweighted sample 16; public estimate withheld.
Not Well12.5%
Estimate 1,935 ± 513; unweighted sample 76.
Very Well49.0%
Estimate 7,596 ± 1,196; unweighted sample 275.
Well26.4%
Estimate 4,093 ± 665; unweighted sample 183.

Aggregate estimates; reliability: limited.

Household size

Five Or More People21.3%
Estimate 2,263 ± 443; unweighted sample 97.
One Person12.2%
Estimate 1,295 ± 421; unweighted sample 42.
Three Or Four People46.7%
Estimate 4,950 ± 796; unweighted sample 169.
Two People19.8%
Estimate 2,101 ± 440; unweighted sample 102.

Aggregate estimates; reliability: moderate.

Household type

Family Household85.3%
Estimate 9,045 ± 917; unweighted sample 355.
Nonfamily Household14.7%
Estimate 1,564 ± 452; unweighted sample 55.

Aggregate estimates; reliability: moderate.

Multigenerational household

Multigenerational13.5%
Estimate 1,430 ± 470; unweighted sample 51.
Not Multigenerational86.5%
Estimate 9,179 ± 955; unweighted sample 359.

Aggregate estimates; reliability: moderate.

Households with children

Children Present37.6%
Estimate 3,991 ± 686; unweighted sample 144.
No Children Present62.4%
Estimate 6,618 ± 784; unweighted sample 266.

Aggregate estimates; reliability: moderate.

Education

Bachelors14.9%
Estimate 2,225 ± 552; unweighted sample 90.
Graduate Or Professional6.5%
Estimate 972 ± 363; unweighted sample 43.
High School Or Equivalent33.5%
Estimate 4,997 ± 832; unweighted sample 197.
Less Than High School28.5%
Estimate 4,257 ± 909; unweighted sample 167.
Some College Or Associate16.5%
Estimate 2,461 ± 555; unweighted sample 89.

Aggregate estimates; reliability: high.

Employment

Employed63.3%
Estimate 9,692 ± 1,188; unweighted sample 368.
Not In Labor Force34.0%
Estimate 5,201 ± 891; unweighted sample 222.
Unemployed2.8%
Estimate 424 ± 207; unweighted sample 20.

Aggregate estimates; reliability: high.

Occupation

Management Business Science Arts34.0%
Estimate 3,985 ± 784; unweighted sample 147.
Natural Resources Construction Maintenance16.6%
Estimate 1,940 ± 512; unweighted sample 63.
Production Transportation Material Moving7.2%
Estimate 840 ± 280; unweighted sample 37.
Sales And Office13.1%
Estimate 1,530 ± 350; unweighted sample 64.
Service29.2%
Estimate 3,423 ± 730; unweighted sample 137.

Aggregate estimates; reliability: moderate.

Industry

Agriculture Forestry Fishing MiningSuppressed
Unweighted sample 3; public estimate withheld.
Arts Entertainment Hospitality13.7%
Estimate 1,596 ± 491; unweighted sample 57.
Construction13.2%
Estimate 1,533 ± 389; unweighted sample 53.
Education Health Social Services13.4%
Estimate 1,562 ± 387; unweighted sample 79.
Finance Insurance Real Estate18.7%
Estimate 2,185 ± 643; unweighted sample 78.
InformationSuppressed
Unweighted sample 6; public estimate withheld.
Manufacturing5.7%
Estimate 670 ± 319; unweighted sample 25.
Other Services5.4%
Estimate 626 ± 312; unweighted sample 25.
Professional Administrative16.5%
Estimate 1,918 ± 614; unweighted sample 64.
Public AdministrationSuppressed
Unweighted sample 5; public estimate withheld.
Retail Trade5.8%
Estimate 671 ± 260; unweighted sample 29.
Transportation UtilitiesSuppressed
Unweighted sample 18; public estimate withheld.
Wholesale TradeSuppressed
Unweighted sample 5; public estimate withheld.
Other Or Suppressed7.7%
Estimate 893 ± Not enough reliable data; unweighted sample 37.

Aggregate estimates; reliability: moderate.

Personal income

100000 Or More20.0%
Estimate 3,077 ± 709; unweighted sample 103.
1 To 2499925.4%
Estimate 3,903 ± 733; unweighted sample 167.
25000 To 4999917.1%
Estimate 2,625 ± 542; unweighted sample 106.
50000 To 9999927.2%
Estimate 4,174 ± 722; unweighted sample 164.
Zero Or Negative10.3%
Estimate 1,578 ± 389; unweighted sample 72.

Aggregate estimates; reliability: high.

Poverty

100 To 199 Percent12.8%
Estimate 1,972 ± 659; unweighted sample 73.
200 To 399 Percent27.3%
Estimate 4,203 ± 990; unweighted sample 179.
400 Percent Or More51.6%
Estimate 7,957 ± 1,208; unweighted sample 308.
Below 100 Percent8.3%
Estimate 1,280 ± 359; unweighted sample 51.

Aggregate estimates; reliability: high.

Health insurance

Covered92.4%
Estimate 14,327 ± 1,555; unweighted sample 571.
Not Covered7.6%
Estimate 1,177 ± 380; unweighted sample 48.

Aggregate estimates; reliability: high.

Disability

With Disability13.8%
Estimate 2,133 ± 509; unweighted sample 98.
Without Disability86.2%
Estimate 13,371 ± 1,527; unweighted sample 521.

Aggregate estimates; reliability: high.

Housing tenure

Occupied Without Cash Rent6.7%
Estimate 712 ± 300; unweighted sample 28.
Owned Free And Clear21.6%
Estimate 2,293 ± 386; unweighted sample 101.
Owned With Mortgage45.3%
Estimate 4,811 ± 752; unweighted sample 182.
Rented26.3%
Estimate 2,793 ± 507; unweighted sample 99.

Aggregate estimates; reliability: moderate.

Housing-cost burden

30 To 49 PercentSuppressed
Unweighted sample 17; public estimate withheld.
50 Percent Or More25.5%
Estimate 686 ± 239; unweighted sample 27.
Under 30 Percent52.9%
Estimate 1,423 ± 374; unweighted sample 52.

Aggregate estimates; reliability: limited.

Residential tenure length

Established Residence45.8%
Estimate 4,856 ± 700; unweighted sample 191.
Mid Term Residence41.5%
Estimate 4,408 ± 745; unweighted sample 159.
Recent Move12.7%
Estimate 1,345 ± 380; unweighted sample 60.

Aggregate estimates; reliability: moderate.

Residential mobility

Different House In Us5.6%
Estimate 874 ± 339; unweighted sample 41.
Same House94.4%
Estimate 14,630 ± 1,592; unweighted sample 578.

Aggregate estimates; reliability: high.

How this community differs across states

Highest community presence

  1. New York/NY — 7,577
  2. Michigan/MI — 2,837
  3. New Jersey/NJ — 1,128
  4. Illinois/IL — 946
  5. Connecticut/CT — 737
  6. California/CA — 430

Highest location quotient

  1. New York/NY — 8.24
  2. Michigan/MI — 6.08
  3. Connecticut/CT — 4.39
  4. New Jersey/NJ — 2.61
  5. Illinois/IL — 1.61
  6. California/CA — 0.24

Closest surrounding demographic contexts

  1. New Hampshire/NH — 93.7%
  2. Maine/ME — 93.4%
  3. Minnesota/MN — 93.3%
  4. North Dakota/ND — 93.3%
  5. South Dakota/SD — 93.3%
  6. Ohio/OH — 93.3%
  7. Wisconsin/WI — 93.2%
  8. Vermont/VT — 93.1%
  9. Iowa/IA — 93.0%
  10. Indiana/IN — 92.9%

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.–Montenegro 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.

Closest demographic peer 1

U.S.–North Macedonia community

89.4% balanced demographic structural similarity · high reliability.

With race and ethnicity: 89.4% · without: 86.4% · rank change: 2.

Strongest similarities: Race and ethnicity (ancestry unavailable), Migration, nativity, and generation, Age and household

Largest differences: Population and settlement, Housing and mobility, Education, work, and income

View dimension scores
Age and household
95.7%
Education, work, and income
89.8%
Housing and mobility
89.4%
Migration, nativity, and generation
96.4%
Population and settlement
74.4%
Race and ethnicity (ancestry unavailable)
100.0%
Population scale
91.0%
Settlement concentration
79.4%
State footprint
52.9%

Population scale, settlement concentration, and state footprint remain separately reported components.

Closest demographic peer 2

U.S.–Antigua and Barbuda community

86.9% balanced demographic structural similarity · high reliability.

With race and ethnicity: 86.9% · without: 86.9% · rank change: -1.

Strongest similarities: Housing and mobility, Age and household, Migration, nativity, and generation

Largest differences: Population and settlement, Education, work, and income, Migration, nativity, and generation

View dimension scores
Age and household
93.4%
Education, work, and income
87.4%
Housing and mobility
96.8%
Migration, nativity, and generation
92.3%
Population and settlement
78.4%
Population scale
95.3%
Settlement concentration
92.9%
State footprint
46.9%

Population scale, settlement concentration, and state footprint remain separately reported components.

Closest demographic peer 3

U.S.–Grenada community

86.8% balanced demographic structural similarity · high reliability.

With race and ethnicity: 86.8% · without: 86.8% · rank change: -1.

Strongest similarities: Age and household, Migration, nativity, and generation, Housing and mobility

Largest differences: Population and settlement, Education, work, and income, Housing and mobility

View dimension scores
Age and household
92.1%
Education, work, and income
89.0%
Housing and mobility
91.8%
Migration, nativity, and generation
91.9%
Population and settlement
79.2%
Population scale
88.8%
Settlement concentration
94.4%
State footprint
54.4%

Population scale, settlement concentration, and state footprint remain separately reported components.

Largest measured differences

The comparison asset reports the lowest demographic structural similarities without describing communities as enemies, opposites, incompatible groups, or unlikely allies.

  1. U.S.–Honduras community — 49.5% measured structural similarity
  2. U.S.–Guatemala community — 50.0% measured structural similarity
  3. U.S.–Mexico community — 50.6% measured structural similarity

Explore peers in Ally Finder

Data quality

Profile state
eligible_high_reliability
Reliable dimensions
18
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.

Weights · Sources · Data quality