School Age Children With Internet Access

School-age digital connectivity data set – Percentage of children in a school at

@kaggle.rayanbhatti_school_age_children_with_internet_access

Table List

3 tables(36.61 KB)

Primary

Secondary

Total School Age

Primary

@kaggle.rayanbhatti_school_age_children_with_internet_access.primary

12.25 KB
88 rows
12 columns

column_a Column A	column_b Column B	column_c Column C	column_d Column D	column_e Column E	column_f Column F	column_g Column G	column_h Column H	column_i Column I	column_j Column J	column_k Column K	column_l Column L
ISO3	Countries and areas	Region	Sub-region	Income Group	Total	Rural (Residence)	Urban (Residence)	Poorest (Wealth quintile)	Richest (Wealth quintile)	Data source	Time period
AGO	Angola	SSA	ESA	Lower middle income (LM)	15%	2%	22%	0%	61%	Demographic and Health Survey	2015-16
ARG	Argentina	LAC	LAC	Upper middle income (UM)	39%	nan	nan	nan	nan	Multiple Indicator Cluster Survey	2011-12
ARM	Armenia	ECA	EECA	Upper middle income (UM)	81%	69%	89%	46%	99%	Demographic and Health Survey	2015-16
BGD	Bangladesh	SA	SA	Lower middle income (LM)	34%	30%	49%	7%	75%	Multiple Indicator Cluster Survey	2019
BRB	Barbados	LAC	LAC	High income (H)	63%	54%	68%	9%	97%	Multiple Indicator Cluster Survey	2012
BEN	Benin	SSA	WCA	Low income (L)	3%	1%	6%	0%	14%	Demographic and Health Survey	2017-18
BOL	Bolivia (Plurinational State of)	LAC	LAC	Lower middle income (LM)	11%	4%	15%	nan	nan	EDSA	2016
BIH	Bosnia and Herzegovina	ECA	EECA	Upper middle income (UM)	51%	43%	68%	3%	95%	Multiple Indicator Cluster Survey	2011-12
BRA	Brazil	LAC	LAC	Upper middle income (UM)	82%	49%	88%	86%	100%	Brazil Continuous National Household Sample Survey (Continuous PNAD) 2018, IBGE.	2018


CREATE TABLE primary (
  "column_a" VARCHAR,
  "column_b" VARCHAR,
  "column_c" VARCHAR,
  "column_d" VARCHAR,
  "column_e" VARCHAR,
  "column_f" VARCHAR,
  "column_g" VARCHAR,
  "column_h" VARCHAR,
  "column_i" VARCHAR,
  "column_j" VARCHAR,
  "column_k" VARCHAR,
  "column_l" VARCHAR
);