-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_health_population.series_summary`
(
  series_code STRING,
  topic STRING,
  indicator_name STRING,
  short_definition STRING,
  long_definition STRING,
  unit_of_measure STRING,
  periodicity STRING,
  base_period INT64,
  other_notes STRING,
  aggregation_method STRING,
  limitations_and_exceptions STRING,
  notes_from_original_source STRING,
  general_comments STRING,
  source STRING,
  statistical_concept_and_methodology STRING,
  development_relevance STRING,
  related_source_links STRING,
  other_web_links STRING,
  related_indicators STRING,
  license_type STRING
)
OPTIONS(
  description="Series Summary table"
);

INSERT INTO `bigquery-public-data.world_bank_health_population.series_summary` (series_code, topic, indicator_name, short_definition, long_definition, unit_of_measure, periodicity, base_period, other_notes, aggregation_method, limitations_and_exceptions, notes_from_original_source, general_comments, source, statistical_concept_and_methodology, development_relevance, related_source_links, other_web_links, related_indicators, license_type) VALUES ('HD.HCI.OVRL', 'Public Sector: Policy & institutions', 'Human capital index (HCI) (scale 0-1)', NULL, 'The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498', NULL, NULL, NULL, NULL, NULL, 'CC BY-4.0'), ('HD.HCI.OVRL.FE', 'Public Sector: Policy & institutions', 'Human capital index (HCI), female (scale 0-1)', NULL, 'The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498', NULL, NULL, NULL, NULL, NULL, 'CC BY-4.0'), ('HD.HCI.OVRL.LB', 'Public Sector: Policy & institutions', 'Human capital index (HCI), lower bound (scale 0-1)', NULL, 'The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498', NULL, NULL, NULL, NULL, NULL, 'CC BY-4.0'), ('HD.HCI.OVRL.LB.FE', 'Public Sector: Policy & institutions', 'Human capital index (HCI), female, lower bound (scale 0-1)', NULL, 'The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498', NULL, NULL, NULL, NULL, NULL, 'CC BY-4.0'), ('HD.HCI.OVRL.LB.MA', 'Public Sector: Policy & institutions', 'Human capital index (HCI), male, lower bound (scale 0-1)', NULL, 'The HCI lower bound reflects uncertainty in the measurement of the components and the overall index. It is obtained by recalculating the HCI using estimates of the lower bounds of each of the components of the HCI. The range between the upper and lower bound is the uncertainty interval. While the uncertainty intervals constructed here do not have a rigorous statistical interpretation, a rule of thumb is that if for two countries they overlap substantially, the differences between their HCI values are not likely to be practically meaningful.', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498', NULL, NULL, NULL, NULL, NULL, 'CC BY-4.0');