ACCESS TO DAYCARE IN BRAZILIAN MUNICIPALITIES: POSSIBILITIES FOR MONITORING

Couto, André Augusto Anjos; Sousa, Sandra Zákia

doi:10.1590/198053149025

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PUBLIC POLICIES, EVALUATION AND MANAGEMENT • Cad. Pesqui. 52 • 2022 • https://doi.org/10.1590/198053149025_en linkcopy

ACCESS TO DAYCARE IN BRAZILIAN MUNICIPALITIES: POSSIBILITIES FOR MONITORING

Authorship SCIMAGO INSTITUTIONS RANKINGS

This paper aims to present possibilities for monitoring access to daycare at the municipal level. As a methodological strategy, education provision rates were calculated using enrollment data from the school census and population data calculated through the ratio-correlation method. Results showed that, on average, municipalities serve 32.2% of children aged up to 3 years, and inequalities related to location and socioeconomic context were found. The methodology showed a potential for helping with the annual monitoring of daycare access in municipalities of the country.

DAYCARE; ACCESS TO SCHOOL; EDUCATION PROVISION RATE; RIGHT TO EDUCATION

Statistics	Model 1 Live-born	Model 2 Deaths	Model 3 Live-born and deaths
Mean percentage error	-3.56	-4.56	-8.18
Mean p. error module	4.22	5.01	8.29
Mean p. error module - 05	5.98	6.32	8.50
Mean p. error module - 95	4.50	5.49	9.08
Between -10% and 10%	97.3	95.7	74.6
Error’s standard deviation	3.63	3.60	3.46

	Mean	Minimum	Maximum	Units
Total	2,033	33	621,359	5,565
Hierarchy
	Mean	Minimum	Maximum	Units
Capital	92,756	16,081	621,359	27
Non-capital	1,590	33	78,195	5,538
Regions
	Mean	Minimum	Maximum	Units
Central-West	2,010	54	159,724	466
Northeast	1,774	65	133,317	1,794
North	2,746	76	136,368	449
Southeast	2,660	35	621,359	1,668
South	1,282	33	92,422	1,188

Hierarchy
	Mean	Minimum	Maximum	Units
Capital	32,923	1,498	369,425	27
Non-capital	497	0	28,974	5,538
Regions
	Mean	Minimum	Maximum	Units
Central-West	519	0	30,366	466
Northeast	475	0	39,446	1,794
North	377	0	9,168	449
Southeast	1,059	0	369,425	1,668
South	517	0	34,227	1,188

	Mean	Minimum	Maximum	Units
Total	32.2	0.0	133.4	5,565
Hierarchy
	Mean	Minimum	Maximum	Units
Capital	29.0	4.3	63.3	27
Non-capital	32.2	0.0	133.4	5,538
Regions
	Mean	Minimum	Maximum	Units
Central-West	26.6	0.0	85.4	466
Northeast	29.2	0.0	110.1	1,794
North	17.7	0.0	86.6	449
Southeast	33.5	0.0	133.4	1,668
South	42.5	0.0	132.8	1,188

	0% a 50%	Units	More than 50%	Units
Total	85.6%	4,765	14.4%	800
Hierarchy
	0% a 50%	Units	More than 50%	Units
Capital	85.2%	23	14.8%	4
Non-capital	85.6%	4,742	14.4%	796
Regions
	0% a 50%	Units	More than 50%	Units
Central-West	93.3%	435	6.7%	31
Northeast	93.0%	1,668	7.0%	126
North	98.2%	441	1.8%	8
Southeast	84.8%	1,414	15.2%	254
South	67.9%	807	32.1%	381

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[TFN6] Source: The authors based on data from IBGE (2000, 2010, 2012) and Ministério da Saúde (1998a, 1998b, 1999a, 1999b, 2000a, 2000b, 2008a, 2008b, 2009a, 2009b, 2010a, 2010b 2012a, 2012b).