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

Migration in Santa Helena/PB (2017–2022)

Santa Helena/PB had a reference population (aged 5 or over in 2022) of 5,575 people. In the 2017–2022 five-year period, the municipality received 320 in-migrants and lost 380 out-migrants to other municipalities in Brazil, resulting in a net migration of −60 people (−10.89 per 1,000 population) and a migration effectiveness index (IEM) of −0.087. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Santa Helena/PB, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants320229 to 411good
Out-migrants380204 to 556use with caution
Net migration−60−258 to 138not classified
Net migration rate, TLM (per 1,000 pop.)−10.89--
Migration effectiveness index (IEM)−0.087--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Santa Helena/PB
OriginPeoplePrecision
São Paulo/SP · view pair in the atlas50low precision
Cajazeiras/PB · view pair in the atlas40low precision
Fortaleza/CE · view pair in the atlas40low precision
Bertioga/SP · view pair in the atlas25low precision
São João do Rio do Peixe/PB · view pair in the atlas20low precision
Triunfo/PB · view pair in the atlas20low precision
Brasília/DF · view pair in the atlas10low precision
Top 10 destinations of out-migrants from Santa Helena/PB
DestinationPeoplePrecision
São João do Rio do Peixe/PB · view pair in the atlas60low precision
Cajazeiras/PB · view pair in the atlas60low precision
Baixio/CE · view pair in the atlas30low precision
Triunfo/PB · view pair in the atlas30low precision
Umari/CE · view pair in the atlas10low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth21066.7%50-99
Multi-step migration6019.0%20-49
First move from municipality of birth4514.3%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education8038.1%20-49
No schooling or incomplete elementary6531.0%20-49
Completed elementary, incomplete high school4019.0%5-19
Completed higher education2511.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage14546.0%20-49
½ to 1 minimum wage9530.2%20-49
1 to 2 minimum wages4012.7%5-19
Up to ¼ of a minimum wage3511.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female6018.8%20-49
Ages 40–59, male4514.1%5-19
Ages 5–14, male4514.1%5-19
Ages 25–39, male4012.5%5-19
Ages 40–59, female3510.9%5-19
Ages 15–24, female257.8%5-19
Ages 60 and over, male206.2%5-19
Ages 15–24, male206.2%5-19
Ages 5–14, female206.2%5-19
Other / suppressed103.1%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth18047.4%20-49
Multi-step migration12532.9%20-49
Return to municipality of birth7519.7%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed higher education7528.8%5-19
No schooling or incomplete elementary7528.8%5-19
Completed elementary, incomplete high school6023.1%5-19
Completed high school, incomplete higher education5019.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage12532.9%20-49
1 to 2 minimum wages8522.4%5-19
½ to 1 minimum wage8522.4%5-19
Up to ¼ of a minimum wage7018.4%20-49
Other / suppressed153.9%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female11529.9%5-19
Ages 15–24, female4511.7%5-19
Ages 25–39, male4511.7%5-19
Other / suppressed4511.7%5-19
Ages 5–14, female359.1%5-19
Ages 40–59, female307.8%5-19
Ages 40–59, male256.5%5-19
Ages 15–24, male256.5%5-19
Ages 5–14, male205.2%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,22558.3%>=500
Completed high school, incomplete higher education93024.4%100-499
Completed elementary, incomplete high school3308.7%100-499
Completed higher education3308.7%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage2,37542.9%>=500
¼ to ½ minimum wage1,66030.0%>=500
Up to ¼ of a minimum wage88015.9%100-499
1 to 2 minimum wages4758.6%100-499
More than 2 minimum wages1502.7%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male77014.6%100-499
Ages 40–59, female73013.9%100-499
Ages 60 and over, female65512.5%100-499
Ages 25–39, male56510.7%100-499
Ages 25–39, female55510.6%100-499
Ages 60 and over, male54010.3%100-499
Ages 15–24, male4107.8%100-499
Ages 15–24, female3506.7%100-499
Ages 5–14, male3456.6%100-499
Ages 5–14, female3406.5%100-499

Commuting (work and study)

Commuting indicators for Santa Helena/PB
Employed persons (aged 10 and over)1,795
Commute out to work in another municipality265
Commute in from another municipality to work here35
Net commuting−235
Out-commuting rate (%)14.81
Commuting attraction index0.865
Median commuting time30 min

This municipality is part of Região Metropolitana de Cajazeiras → see the metropolitan region page

Open Santa Helena/PB 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 Helena/PB. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-helena-pb-2513307/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.