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Health Nutrition and Population Statistics
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Country Available. All Countries Aggregates. Select all Unselect all Invert selection. Filter Hierarchy. Showing - of. Sort Remove all.
Create Custom Group. Additional Options Metadata Optional. Display Country List. Clear Add. Series Available. Create Custom Indicator. Display Series List. Clr Add Validate. Aggregation Rule Defines the methodologies to be used when deriving custom aggregates. Apply Same rule for all indicators Set rule for each indicator. After the formula is complete, you can verify its syntax by clicking the Validate button.
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Later if you wish to see or change the formula for an indicator you have created, from the right side current selection panel click the Edit. Use the DEL key to delete the last entry and step backwards to edit the formula. Click the Clear button to erase the custom indicator formula. Note: Validation will verify a formula for proper syntax only.
Derived indicators may yield inappropriate results and caution should be observed. The Aggregation Rules function defines the methodologies to be used when deriving custom aggregates. These rules apply only to custom country groups you have created. They do not apply to official groups presented in your selected database.
For each selected series, choose your Aggregation Rule and Weight Indicator if needed from the corresponding drop-down boxes.
Check the Apply to all box if you wish to use the same methodology for all selected series. Aggregation Rules include: 1. Max: Aggregates are set to the highest available value for each time period. Mean: Aggregates are calculated as the average of available data for each time period.
Mean Aggregates are calculated as the average of available data for each time period. Values are not shown if more than one third of the observations in the series are missing. Median: Aggregates are calculated as the median of available data for each time period.
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Median Aggregates are calculated as the median of available data for each time period. Values are not computed if more than a third of the observations in the series are missing. Min: Aggregates are set to the lowest available value for each time period. Sum: Aggregates are calculated as the sum of available data for each time period. Sum Aggregates are calculated as the sum of available data for each time period.
Sums are not shown if more than one third of the observations in the series are missing. Weighted Mean: Aggregates are calculated as weighted averages of available data for each time period.
Weighted Mean Aggregates are calculated as weighted averages of available data for each time period. No aggregate is shown if missing data account for more than one third of the observations in the series. Weighted Mean 66POP: Aggregates are calculated as weighted averages of available data for each time period.
No aggregate is shown if countries with missing data represent more than one third of the total population of your custom group. Note 1: In none of the above methodologies are missing values imputed.
Therefore, aggregates for groups of economies should be treated as approximations of unknown totals or average values. Note 2: Aggregation results apply only to your custom-defined groups and do not reflect official World Bank aggregates based on regional and income classification of economies. Results may be inappropriate e. Year Available. Annual Quarterly Monthly Weekly Daily. Create Time Function. Span From To. Total periods 1 2 3 4 5 6 7 8 9 10 Latest period Default -1 -2 -3 -4 -5 -6 -7 -8 -9 Optional. Additional options Metadata Optional.
Display function definition. Hide title applicable to WDI online table only. Hide label applicable to WDI online table only. To perform mathematical functions on the data over a specified time period, choose the type of operation from the dropdown menu, and then choose your time period.
Give a name to your custom function and click Add. Note: The operation will be performed on all selected series.
S.1 Basic Terminology | STAT ONLINE
You should be aware that some results may be inappropriate e. This growth rate is based on a model of continuous, exponential growth between two points in time. It does not take into account the intermediate values of the series. Least-squares growth rate: the growth rate estimated by fitting a linear regression trend line to the logarithmic annual values of the variable in the relevant period. No growth rate is calculated if more than half the observations in a period are missing.
The calculated growth rate is an average rate that is representative of the available observations over the entire period. It does not necessarily match the actual growth rate between any two periods. It is applicable to compound growth over discrete periods. Like the exponential growth rate, it does not take into account intermediate values of the series. Average or mean : the sum of values in the period divided by the number of values.
Observations that are not available are ignored, however zero values are included. Median: the middle value in the period. Maximum: the highest value in the period. Minimum: the lowest value in the period. Standard deviation: the square root of the variance. Standard deviation is a measure of how widely values are dispersed from the average value the mean. Sum: the sum of the values in the period.
Variance: the mean of all squared deviations from the mean. Most recent value: The most recent value MRV function will display a value in the specified year range according to the selected order observation sequence. The default order is "First" which will display the most recent value available in the period. Selecting a different order, such as "Second" for example, will display the second-most recent value in the period, etc.
MRV options are also available to display the year of the data, either to the left or right of the data value. Metadata Attributes Available. Remove All. Popular Custom.