From 1999–2008, the GDP of all four regions (East, North, South, West) shows strong and consistent growth with double-digit annual increases.
| Name | Type | Nullable | Description |
|---|---|---|---|
| Year | string | No | Financial year corresponding to the GDP measurement. |
| Description | categorical | No | Indicates the type of metric recorded in the row, typically district GDP values or growth indicators. |
| East Sikkim | float | Yes | Gross Domestic Product value for East Sikkim district measured in monetary units such as crore rupees. |
| West Sikkim | float | Yes | Gross Domestic Product value for West Sikkim district measured in monetary units such as crore rupees. |
| North Sikkim | float | No | Gross Domestic Product value for North Sikkim district measured in monetary units such as crore rupees. |
East region remains the economic leader with the highest GDP, while South follows with rapid expansion, especially after 2000–01. North, despite its smaller base, maintains steady double-digit growth, contributing progressively more each year. West also shows stable performance, keeping pace with the broader regional growth trend across the decade.
The dataset follows a consistent tabular structure with district names represented as columns and financial years as rows. Most entries contain numeric GDP values suitable for economic analysis. Some missing values may occur in certain years where district data was not reported or where administrative boundaries changed.
Regional economic analysis, district-level GDP comparison, economic planning and policy development, academic research on regional economic growth, and monitoring of economic development across districts in Sikkim.
The dataset does not include sector-wise GDP breakdowns, population-adjusted indicators such as GDP per capita, inflation-adjusted values, or detailed methodological notes explaining how district GDP estimates were calculated.
The data was likely compiled using district domestic product estimation methods employed by state statistical departments, aggregating economic output across industries using administrative records, production data, and government economic accounts.
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