nisr rw.nisr.phc-education.irregular irregular

PHC Educational Characteristics

VERSION v2026-06-07
UPDATED 8d ago
COVERAGE 1978 - 2022
SHAPE 887 × 9
SIZE 10.2 KB
FREQUENCY irregular
PIPELINE automated
LICENSE CC-BY-4.0

Educational attainment, school attendance rates (GAR/NAR), and literacy by language drawn from Rwanda's 5th (2022) Population and Housing Census. Source is Education_Thematic_Report.xlsx (582 KB, 103 sheets), a direct static download from the NISR portal. RPHC4 (2012) has no education XLS companion; 2012 national attainment is derived from the cross-census evolution table (Table 3.3) embedded in the RPHC5 file, giving historical attainment back to 1978. Province-level attainment (Tables C.14-C.18) and district-level attendance rates (Tables 5.26 and 5.28) are 2022-only. No province-level education data available for 2012 via automated pipeline.

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EDUCATION PHC Educational Characteristics (irregular)
METRIC
GEO
SEX
AREA

SCHEMA · 9 columns

COLUMN TYPE DESCRIPTION UNIT
census_year int64 Census reference year. Values: 1978, 1991, 2002, 2012 (attainment_trend topic only, national level); 2022 (all topics). -
geography string Geographic unit name. For topic=attainment (2022): Rwanda or one of five provinces (City of Kigali, Southern Province, Western Province, Northern Province, Eastern Province). For topic=attendance (2022): Rwanda or one of 30 districts. For topic=attainment_trend/literacy: Rwanda only. -
geography_level string Geographic level -- national, province, or district -
area string Urban/rural breakdown -- total, urban, or rural. Province attainment tables publish only total and urban (no separate rural column). Attendance district rows are area=total only. -
sex string Sex disaggregation -- both_sexes, male, or female -
topic string Indicator topic. Values: attainment (highest education level attended, 2022, national + province), attainment_trend (historical attainment 1978-2022, national only, simplified categories), attendance (school attendance GAR/NAR, 2022, national + district), literacy (% who can read/write by language, 2022, national + area). -
category string Normalized slug within the topic. Attainment values: never_attended, ecd, pre_primary, primary, vocational_lower, lower_secondary, upper_secondary, university, not_stated. Attainment_trend values: never_attended, primary, post_primary, secondary, university, not_stated (simplified historical categories matching the source Table 3.3 column layout). Attendance values: primary_gar, primary_nar, secondary_gar, secondary_nar. Literacy values: illiterate (cannot read/write any language), kinyarwanda, english, french, swahili, other_language. -
count float64 Absolute population count. Available only for national attainment rows (Table 3.1). NaN for province attainment, trend, attendance, and literacy rows where only percentages are published. -
pct float64 Proportion on a 0.0-1.0 scale (source values divided by 100). For topic=attendance, the GAR can exceed 1.0 (e.g. primary GAR = 1.417 nationally) -- this is expected for gross attendance rates. -

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