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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Francisco Dantas/RN (2017–2022)

Francisco Dantas/RN had a reference population (aged 5 or over in 2022) of 2,550 people. In the 2017–2022 five-year period, the municipality received 235 in-migrants and lost 190 out-migrants to other municipalities in Brazil, resulting in a net migration of +45 people (17.28 per 1,000 population) and a migration effectiveness index (IEM) of 0.104. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Francisco Dantas/RN, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants235163 to 307use with caution
Out-migrants190102 to 278use with caution
Net migration+45−69 to 159not classified
Net migration rate, TLM (per 1,000 pop.)17.28--
Migration effectiveness index (IEM)0.104--

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Francisco Dantas/RN
OriginPeoplePrecision
Pau dos Ferros/RN · view pair in the atlas60low precision
Natal/RN · view pair in the atlas25low precision
São Francisco do Oeste/RN · view pair in the atlas20low precision
Portalegre/RN · view pair in the atlas20low precision
Top 10 destinations of out-migrants from Francisco Dantas/RN
DestinationPeoplePrecision
Pau dos Ferros/RN · view pair in the atlas55low precision
Portalegre/RN · view pair in the atlas30low precision
São Francisco do Oeste/RN · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration9541.3%20-49
First move from municipality of birth8034.8%20-49
Return to municipality of birth5523.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary8053.3%20-49
Completed high school, incomplete higher education4530.0%5-19
Completed elementary, incomplete high school2013.3%5-19
Other / suppressed53.3%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage10544.7%20-49
½ to 1 minimum wage7029.8%20-49
Up to ¼ of a minimum wage3514.9%5-19
1 to 2 minimum wages208.5%5-19
Other / suppressed52.1%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male4519.1%5-19
Ages 15–24, male3514.9%5-19
Ages 40–59, female3012.8%5-19
Ages 25–39, female3012.8%5-19
Ages 40–59, male3012.8%5-19
Ages 15–24, female208.5%5-19
Other / suppressed208.5%5-19
Ages 5–14, female156.4%5-19
Ages 60 and over, female104.3%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration10555.3%20-49
First move from municipality of birth5528.9%5-19
Return to municipality of birth3015.8%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary8560.7%5-19
Other / suppressed3525.0%5-19
Completed high school, incomplete higher education2014.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage7539.5%5-19
¼ to ½ minimum wage6534.2%5-19
Up to ¼ of a minimum wage2513.2%5-19
1 to 2 minimum wages2010.5%5-19
Other / suppressed52.6%<5
Age and sex
CategoryEstimateShareSample
Other / suppressed7036.8%5-19
Ages 40–59, female4021.1%5-19
Ages 25–39, female3015.8%5-19
Ages 60 and over, female3015.8%5-19
Ages 25–39, male2010.5%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary98557.8%100-499
Completed high school, incomplete higher education41024.0%100-499
Completed elementary, incomplete high school19011.1%50-99
Completed higher education1207.0%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,02041.3%100-499
¼ to ½ minimum wage72029.1%100-499
Up to ¼ of a minimum wage41516.8%100-499
1 to 2 minimum wages2409.7%50-99
More than 2 minimum wages753.0%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male36015.6%100-499
Ages 40–59, female35515.4%100-499
Ages 60 and over, female26011.3%50-99
Ages 25–39, female25010.8%50-99
Ages 25–39, male25010.8%50-99
Ages 60 and over, male23010.0%50-99
Ages 15–24, male1556.7%20-49
Ages 15–24, female1556.7%20-49
Ages 5–14, male1506.5%50-99
Ages 5–14, female1456.3%20-49

Commuting (work and study)

Commuting indicators for Francisco Dantas/RN
Employed persons (aged 10 and over)795
Commute out to work in another municipality255
Commute in from another municipality to work here50
Net commuting−205
Out-commuting rate (%)32.26
Commuting attraction index0.680
Median commuting time25 min

Open Francisco Dantas/RN in the interactive atlas →

Methodological note

Estimates from the sample microdata of the 2022 Demographic Census (IBGE, controlled access), fixed-date migration question (residence on July 31, 2017 compared with residence on July 31, 2022). Every estimate is rounded to multiples of 5 and has passed statistical disclosure control (no cell with fewer than 5 people or 3 sampled households). See the full methodology and the glossary.

How to cite this page

Daniel Pessini Sobreira. Atlas da migração interna no Brasil [Atlas of internal migration in Brazil]: Francisco Dantas/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/francisco-dantas-rn-2403905/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.