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

Migration in Santa Luz/PI (2017–2022)

Santa Luz/PI had a reference population (aged 5 or over in 2022) of 4,970 people. In the 2017–2022 five-year period, the municipality received 285 in-migrants and lost 280 out-migrants to other municipalities in Brazil, resulting in a net migration of +5 people (0.93 per 1,000 population) and a migration effectiveness index (IEM) of 0.008. This classifies the municipality, for the period, as one of migratory attraction. In addition, 15 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Santa Luz/PI, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants285192 to 378use with caution
Out-migrants280155 to 405use with caution
Net migration+5−151 to 161not classified
Net migration rate, TLM (per 1,000 pop.)0.93--
Migration effectiveness index (IEM)0.008--

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 Santa Luz/PI
OriginPeoplePrecision
Bom Jesus/PI · view pair in the atlas60low precision
Guaribas/PI · view pair in the atlas35low precision
Cristino Castro/PI · view pair in the atlas35low precision
Brasília/DF · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Santa Luz/PI
DestinationPeoplePrecision
Cristino Castro/PI · view pair in the atlas95low precision
Guaribas/PI · view pair in the atlas15low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth10536.8%20-49
Multi-step migration9533.3%20-49
Return to municipality of birth8529.8%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary7042.4%20-49
Completed high school, incomplete higher education4527.3%5-19
Completed higher education3018.2%5-19
Completed elementary, incomplete high school2012.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage9032.1%20-49
Up to ¼ of a minimum wage8530.4%20-49
½ to 1 minimum wage5519.6%5-19
1 to 2 minimum wages4516.1%5-19
Other / suppressed51.8%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male4515.8%5-19
Ages 40–59, female4014.0%5-19
Ages 25–39, female3512.3%5-19
Ages 5–14, male3512.3%5-19
Ages 15–24, female3512.3%5-19
Ages 5–14, female258.8%5-19
Ages 40–59, male258.8%5-19
Ages 15–24, male258.8%5-19
Other / suppressed207.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration13047.3%5-19
First move from municipality of birth10538.2%20-49
Return to municipality of birth4014.5%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education5537.9%5-19
No schooling or incomplete elementary4027.6%5-19
Completed higher education3524.1%5-19
Other / suppressed1510.3%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage8029.1%5-19
Up to ¼ of a minimum wage7025.5%5-19
1 to 2 minimum wages6021.8%5-19
¼ to ½ minimum wage5018.2%5-19
Other / suppressed155.5%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female8028.6%5-19
Other / suppressed4516.1%5-19
Ages 25–39, female4516.1%5-19
Ages 40–59, male4014.3%5-19
Ages 25–39, male3512.5%5-19
Ages 15–24, male3512.5%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,82058.8%>=500
Completed high school, incomplete higher education64520.8%100-499
Completed elementary, incomplete high school40513.1%100-499
Completed higher education2257.3%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,87037.2%>=500
¼ to ½ minimum wage1,68533.5%>=500
Up to ¼ of a minimum wage1,14022.7%100-499
1 to 2 minimum wages2705.4%50-99
More than 2 minimum wages601.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male63013.5%100-499
Ages 40–59, female55011.8%100-499
Ages 25–39, female53511.5%100-499
Ages 25–39, male53011.4%100-499
Ages 15–24, male4409.4%100-499
Ages 60 and over, female4309.2%100-499
Ages 60 and over, male4209.0%100-499
Ages 5–14, female3808.2%100-499
Ages 5–14, male3758.0%100-499
Ages 15–24, female3707.9%100-499

Commuting (work and study)

Commuting indicators for Santa Luz/PI
Employed persons (aged 10 and over)1,325
Commute out to work in another municipality75
Commute in from another municipality to work here50
Net commuting−25
Out-commuting rate (%)5.69
Commuting attraction index0.981
Median commuting time50 min

Open Santa Luz/PI 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]: Santa Luz/PI. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-luz-pi-2209302/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.