Pregnant Women in Meghalaya
This dataset, named "Pregnant Women in Meghalaya," is sourced from the Health and Family Welfare Department of Meghalaya. It provides information on pregnancies in the state, including details such as the year, state name, district name, block name, pregnancy type (teenage or adult), total number of pregnant women, percentage of pregnant women, and the number of expected deliveries in each block for a given year.
የመረጃ መዝገበ-ቃላት
| አምድ | አይነት | መለዮ | መግለጫ |
|---|---|---|---|
| id | int4 | index | |
| year | text | Year | |
| state_name | text | State Name | |
| state_code | text | State Code | |
| district_name | text | District Name | |
| district_code | text | District Code | |
| block_name | text | Block Name | |
| block_code | text | Block Code | |
| category | text | Type of Pregenancy | |
| pregnant_women | numeric | Number of Pregnant Women | |
| pregnant_women_percentage | numeric | Percentage of pregnant women | |
| deliveries_expected | numeric | Expected Number of Deliveries |
ተጭማሪ መረጃ
| መስክ | ዋጋ |
|---|---|
| መረጃው መጨረሻ የተሻሻለው | 17 ኖቬምበር 2023 |
| ልዕለ-መረጃ ለመጨረሻ ጊዜ የተሻሻለው | 17 ኖቬምበር 2023 |
| ተፈጥሯል | ያልታወቀ |
| ቅርጸት | CSV |
| ፈቃድ | Open Data Commons Attribution License |
| Frequency | Yearly |
| Media type | text/csv |
| Size | 18,857 |
| Additional info | Number of Blocks = 46 |
| Data extraction page | nan |
| Data insights | Trends Over Years: Analyzing the dataset over different years can reveal trends in the number of pregnant women, variations in percentages, and changes in the number of expected deliveries. Geographical Patterns: Examining the data at the state, district, and block levels can provide insights into geographical variations in pregnancy rates and healthcare needs. Teenage vs. Adult Pregnancies: The 'category' column can be used to compare the prevalence of teenage and adult pregnancies, shedding light on potential areas for targeted interventions.Healthcare Planning: The 'deliveries_expected' column is crucial for understanding the healthcare infrastructure's demands in different blocks, aiding in resource allocation and planning. |
| Data last updated | 2,023 |
| Data retreival date | 2023-09-29 00:00:00 |
| Datastore active | True |
| District no | 11 |
| Granularity | Block |
| Has views | True |
| Id | 58c6af6c-03e2-4c7c-9a33-b2f996c5a6d2 |
| Idp ready | True |
| Methodology | Data is provided by the government of Meghalya |
| No indicators | 3 |
| Package id | c089ae01-7d72-43e8-b906-d7180713be97 |
| Position | 6 |
| Sku | pregenant_women |
| State | active |
| States uts no | 1 |
| Url type | upload |
| Years covered | 2021-2023 |
| ተፈጥሯል | ከ1 ዓመት በፊት |
| Methodology | Data is provided by the government of Meghalya |
| Similar Resources | |
| Granularity Level | Block |
| Data Extraction Page | nan |
| Data Retreival Date | 2023-09-29 00:00:00 |
| Data Last Updated | 2023 |
| Sku | pregenant_women |
| Dataset Frequency | |
| Years Covered | 2021-2023 |
| No of States/UT(s) | 1 |
| No of Districts | 11 |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| ተጭማሪ መረጃ | Number of Blocks = 46 |
| Number of Indicators | 3 |
| Insights from the dataset | Trends Over Years: Analyzing the dataset over different years can reveal trends in the number of pregnant women, variations in percentages, and changes in the number of expected deliveries. Geographical Patterns: Examining the data at the state, district, and block levels can provide insights into geographical variations in pregnancy rates and healthcare needs. Teenage vs. Adult Pregnancies: The 'category' column can be used to compare the prevalence of teenage and adult pregnancies, shedding light on potential areas for targeted interventions.Healthcare Planning: The 'deliveries_expected' column is crucial for understanding the healthcare infrastructure's demands in different blocks, aiding in resource allocation and planning. |
| IDP Ready | Yes |