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

Migration in Santa Cecília/PB (2017–2022)

Santa Cecília/PB had a reference population (aged 5 or over in 2022) of 7,080 people. In the 2017–2022 five-year period, the municipality received 590 in-migrants and lost 325 out-migrants to other municipalities in Brazil, resulting in a net migration of +270 people (38.01 per 1,000 population) and a migration effectiveness index (IEM) of 0.294. This classifies the municipality, for the period, as one of migratory attraction. In addition, 40 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Santa Cecília/PB, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants590460 to 720good
Out-migrants325127 to 523low precision
Net migration+27033 to 507not classified
Net migration rate, TLM (per 1,000 pop.)38.01--
Migration effectiveness index (IEM)0.294--

Sample of in-migrants: 100-499 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 Cecília/PB
OriginPeoplePrecision
Vertente do Lério/PE · view pair in the atlas90low precision
Santa Cruz do Capibaribe/PE · view pair in the atlas90use with caution
Rio de Janeiro/RJ · view pair in the atlas85use with caution
Surubim/PE · view pair in the atlas55low precision
Recife/PE · view pair in the atlas50low precision
Umbuzeiro/PB · view pair in the atlas30low precision
Santa Maria do Cambucá/PE · view pair in the atlas30low precision
São Paulo/SP · view pair in the atlas20low precision
Guarulhos/SP · view pair in the atlas15low precision
Barra de Santana/PB · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Santa Cecília/PB
DestinationPeoplePrecision
Santa Cruz do Capibaribe/PE · view pair in the atlas55low precision
Vertente do Lério/PE · view pair in the atlas40low precision
Alcantil/PB · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth22037.3%50-99
Return to municipality of birth21536.4%50-99
Multi-step migration15526.3%50-99
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary20556.2%50-99
Completed high school, incomplete higher education7520.5%20-49
Completed elementary, incomplete high school6016.4%20-49
Completed higher education256.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage19532.8%50-99
Up to ¼ of a minimum wage19532.8%50-99
½ to 1 minimum wage16527.7%50-99
1 to 2 minimum wages305.0%5-19
Other / suppressed101.7%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female11018.8%20-49
Ages 25–39, male10517.9%20-49
Ages 5–14, male7012.0%20-49
Ages 15–24, female7012.0%20-49
Ages 40–59, male6010.3%20-49
Ages 15–24, male508.5%5-19
Ages 40–59, female457.7%5-19
Ages 5–14, female356.0%5-19
Ages 60 and over, male254.3%5-19
Ages 60 and over, female152.6%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth14544.6%5-19
First move from municipality of birth12036.9%20-49
Multi-step migration6018.5%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary10057.1%5-19
Completed high school, incomplete higher education4525.7%5-19
Other / suppressed3017.1%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage14545.3%5-19
¼ to ½ minimum wage9028.1%5-19
1 to 2 minimum wages4514.1%5-19
Up to ¼ of a minimum wage4012.5%5-19
Age and sex
CategoryEstimateShareSample
Ages 5–14, female8024.6%5-19
Ages 40–59, male5015.4%5-19
Ages 25–39, female5015.4%5-19
Ages 15–24, female4513.8%5-19
Ages 25–39, male4012.3%5-19
Other / suppressed3510.8%5-19
Ages 15–24, male257.7%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary2,77065.9%>=500
Completed high school, incomplete higher education89021.2%100-499
Completed elementary, incomplete high school42010.0%100-499
Completed higher education1253.0%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage2,35033.4%>=500
Up to ¼ of a minimum wage2,29532.6%>=500
½ to 1 minimum wage1,86526.5%>=500
1 to 2 minimum wages3855.5%100-499
More than 2 minimum wages1502.1%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male81012.6%100-499
Ages 40–59, female80012.4%100-499
Ages 25–39, female76511.9%100-499
Ages 25–39, male76511.9%100-499
Ages 15–24, male6259.7%100-499
Ages 15–24, female5658.8%100-499
Ages 60 and over, female5508.5%100-499
Ages 5–14, male5358.3%100-499
Ages 60 and over, male5208.1%100-499
Ages 5–14, female5158.0%100-499

Commuting (work and study)

Commuting indicators for Santa Cecília/PB
Employed persons (aged 10 and over)2,755
Commute out to work in another municipality195
Commute in from another municipality to work here155
Net commuting−40
Out-commuting rate (%)7.11
Commuting attraction index0.981
Median commuting time30 min

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

Open Santa Cecília/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 Cecília/PB. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-cecilia-pb-2513158/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.