Online-only Table 1 Records of child care center data.
From: Surrounding road density of child care centers in Australia
Variable | Description | Type | Range or levels | How measured | Units/formats/level coding | The number and proportion of missing values n(%) |
|---|---|---|---|---|---|---|
V1 | Serial number | factor | 1~16,146 | identified | — | 0 (0) |
ServiceNam | Name | factor | — | identified | — | 0 (0) |
ServiceTyp | Type | factor | 16,146 individuals | identified | Center-based-care, family day care | 0 (0) |
ServiceAdd | Address | factor | 16,146 individuals | identified | — | 6 (0.04) |
Suburb | Suburb belonged to | factor | 3,869 suburbs | identified | — | 6 (0.04) |
State | State located in | factor | 8 states | identified | New SouthWales (NSW), Victoria (VIC), | 0 (0) |
Queensland (QLD), Western Australia (WA), South Australia (SA), | ||||||
Tasmania (TAS), | ||||||
Australian Capital Territory (ACT), | ||||||
Northern Territory (NT) | ||||||
Postcode | Postcode | integer | — | identified | — | 6 (0.04) |
NumberOfAp | Number of approved children | numeric | 0~414 | identified | person | 526 (3.26) |
QualityAre | Quality level according to the National Quality Standard | factor | three levels | identified | Exceeding NQS, Meeting NQS, Working Towards NQS | 1096 (6.79) |
OverallRat | Overall rating according to the National Quality Standard | factor | five levels | identified | SIR: significant improvement required, WT: working towards, MT: meeting, EXD: exceeding, EXT: excellent | 1096 (6.79) |
Long_Day_C | Long day care | factor | yes, no | identified | yes, no | 0 (0) |
Preschool_ | Preschool | factor | yes, no | identified | yes, no | 0 (0) |
Outside_sc | Outside school hours care | factor | yes, no | identified | yes, no | 0 (0) |
type | Type of care | integer | 1~8 | defined | We devide all the child care centers into 8 groups according to whether it offers long day care, preschool or outside school hours care. Details are in Table 3. | 0 (0) |
lon_final.x | longitude | factor | 105.7~153.6 | identified | — | 0 (0) |
lat_final.x | latitude | factor | −43.315~−9.598 | identified | — | 0 (0) |
PM2.5_2013~PM2.5_2018 | annual average PM2.5 concentration from 2013 to 2018 | numeric | 1.76~11.39 | measured | ug/m3 | PM2.5_2013~ PM2.5_2016: 0 (0) |
PM2.5_2017~ PM2.5_2018: | ||||||
80 (0.50) | ||||||
NDVIMax_2013~NDVIMax_2019 | the annual average NDVI of January, February and December from 2013 to 2019 | numeric | −0.29~0.99 | measured | — | 2034 (12.60) |
PM2.5 | the mean of PM2.5_2013~ PM2.5_2018 | numeric | 1.96~9.69 | measured | ug/m3 | 80 (0.50) |
NDVI | the mean of ndviMax_2013~ndviMax_2019 | numeric | −0.19~0.89 | measured | — | 2034 (12.60) |
dismain | Distance to main road | numeric | 0~1700709 | measured | meter | 0 (0) |
dismotorway | Distance to motorway | numeric | 0~2771484 | measured | meter | 0 (0) |
main_50 | length of main road in 50-meter buffer zone | numeric | 0~363.7 | measured | meter | 0 (0) |
main_100 | length of main road in 100-meter buffer zone | numeric | 0~793.4 | measured | meter | 0 (0) |
main_300 | length of main road in 300-meter buffer zone | numeric | 0~5199.2 | measured | meter | 0 (0) |
main_500 | length of main road in 500-meter buffer zone | numeric | 0~8009.4 | measured | meter | 0 (0) |
main_1000 | length of main road in1000-meter buffer zone | numeric | 0~17321 | measured | meter | 0 (0) |
moto_50 | length of motorway in 50-meter buffer zone | numeric | 0~198.6 | measured | meter | 0 (0) |
moto_100 | length of motorway in 100-meter buffer zone | numeric | 0~691.1 | measured | meter | 0 (0) |
moto_300 | length of motorway in 300-meter buffer zone | numeric | 0~3935 | measured | meter | 0 (0) |
moto_500 | length of motorway in 500-meter buffer zone | numeric | 0~6081 | measured | meter | 0 (0) |
moto_1000 | length of motorway in 1000-meterbuffer zone | numeric | 0~18478.7 | measured | meter | 0 (0) |
