Project Dataset
Kansas Child Care Facility Data (2017-2024)
About the Data
This project utilizes a variety of datasets to assess the child care climate in Kansas. Key data sources include Kansas child care licensing information from the KIDS COUNT Data Center and accessibility data from Child Care Aware of Kansas. The compiled dataset provides a comprehensive landscape of child care in Kansas from 2017 to 2024.
It includes two primary files: one detailing the annual trends in facility types and total capacity statewide, and another providing a county-level breakdown of different care facilities for 2024. The data has been cleaned and refined from original PDF reports to be analysis-ready.
Data Dictionary
Quick Start Guide
import pandas as pd
# URL to the raw CSV file on GitHub
url_county = 'https://raw.githubusercontent.com/KansasData/CommunityDataLab/refs/heads/main/Kansas%20Action%20for%20Children/county_facility.csv'
url_ks = 'https://raw.githubusercontent.com/KansasData/CommunityDataLab/refs/heads/main/Kansas%20Action%20for%20Children/care_facility.csv'
# Read the data
df_county = pd.read_csv(url_county)
df_ks = pd.read_csv(url_ks)
# Display the first 5 rows
print(df_county.head())
print(df_ks.head())# Install and load the readr library if you haven't already
# install.packages("readr")
library(readr)
# URL to the raw CSV file on GitHub
url_county <- 'https://raw.githubusercontent.com/KansasData/CommunityDataLab/refs/heads/main/Kansas%20Action%20for%20Children/county_facility.csv'
url_ks <- 'https://raw.githubusercontent.com/KansasData/CommunityDataLab/refs/heads/main/Kansas%20Action%20for%20Children/care_facility.csv'
# Read the data
df_county <- read_csv(url_county)
df_ks = read_csv(url_ks)
# Display the first 6 rows
print(head(df_county))
print(head(df_ks))