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Help us improve this section of the site. Can we get your feedback? Click here. Defines the methodologies to be used when deriving custom aggregates. These rules apply only to custom country groups you have created! The Custom Country option allows you to create your own customized country groups from country selection panel.

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Help us improve this section of the site. Can we get your feedback? Click here. Defines the methodologies to be used when deriving custom aggregates. These rules apply only to custom country groups you have created!

The Custom Country option allows you to create your own customized country groups from country selection panel. Click on Custom Country. A new box will open.

Click on the desired countries listed in the country selection panel. Enter the group name in the Enter Group Title box and click on Add. The new country group will be added to the right panel. To edit an existing country group, click on the Edit link in the current selection panel in right side.

Now you can add new countries or remove the countries to an existing customized group. Click on the additional countries listed in the country selection panel. To remove the country from the group double click on the country or select the country and click Remove button.

Click on Add to save changes to your customized group. Note: Editing the group name will create a new custom group. You can remove the customized group by clicking on the Delete button in the current selection panel in right side. Click on Custom Indicators. Choose input indicators by clicking on the desired series in the panel and use the calculator functions to construct your custom indicator formula.

For example, for a series that shows the percentage of female population, double-click on the series Population, Female.

Then double click on the series Population, Total. Give a name to your custom indicator and click on Add. To have "not available" values in the database treated as zero within your formula, use the NA function.

Banco de datos. Indicadores del desarrollo mundial. Base de datos Disponible. Country Disponible. Showing - of. Clasificar Eliminar todo. Create Custom Group. Additional Options Metadata Optional. Display Country List. Clear Add. Select region Mapping purpose.

Select income Mapping purpose. Series Disponible. 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. 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. 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. Time Disponible. Annual Quarterly Monthly Weekly Daily.

Lapso Desde Hasta. Last 1 2 3 4 5 6 7 8 9 10 Backward Por defecto -1 -2 -3 -4 -5 -6 -7 -8 -9 Optional. Opciones adicionales Metadatos opcional. Borrar Agregar. 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. 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.

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