Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
By Health [source]
The Centers for Disease Control and Prevention (CDC) is proud to present PRAMS, the Pregnancy Risk Assessment Monitoring System. This survey provides valuable insights and analysis on maternal health, mindset, and experiences pre-pregnancy through postpartum phase. Statistically representative data is gathered from mothers all over the United States concerning issues such as abuse, alcohol use, contraception, breastfeeding, mental health, obesity and many more.
This survey provides an invaluable source of information which is key in targeting areas that need improvement when it comes to maternal wellbeing. Armed with PRAMS data state health officials are able to work towards promoting a healthy environment for mothers and their babies during this important period of life. Rich in data points ranging from smoking exposure to infant sleep behavior trends can be identified across states as well as nationally with this unique system supported by CDC's partnership with state health departments.
Here you will find a-mazing datasets containing columns such like Year or LocationAbbr or Response allowing you analyze some really meaningful stuff like: Are women in certain parts of the US more likely compared to others to breastfeed? What about rates at which pregnant mothers take prenatal care? Dive into the 2019 CDC PRAMStat dataset today!
For more datasets, click here.
- π¨ Your notebook can be here! π¨!
In order to make full use of this dataset itβs important that you understand what each column contains so that you can extract the most relevant data for your purposes. Here are some tips for understanding how to maximize this dataset: - Look through each column carefully β take note of which columns contain numerical information (Data_Value_Unit), categorical responses (Response) or location descriptions (Location Desc). - Make sure that you are aware of any standard errors that may be associated with data values (Data_Value_Std_Err). - Itβs useful to know the source(DataSource)of your data so if possible check out who has collected it.
- Check what classifications have been used in BreakOut columns β this can give additional insight into how subjects were divided up within datasets.
- Understand how pregnancies were grouped together geographically by taking a look at LocationAbbr and Geolocation columns - understanding where surveys have been done can help break down regional differences in responses.
With these steps will help you navigate through your dataset so that you can accurately interpret questions posed by pregnant women from different locations across the U.S.
- Using this dataset, public health officials could analyze maternal attitudes and experiences over a period of time to develop targeted strategies to improve maternal health.
- This dataset can be used to create predictive models of maternal behavior based on the amount of prenatal care received and other factors such as alcohol use, sleep behavior and tobacco use.
- Analyzing this dataset would also allow researchers to identify trends in infant wellbeing outcomes across various states/municipalities with different policies/interventions in place which can then be replicated in other areas with similar characteristics
If you use this dataset in your research, please credit the original authors. Data Source
License: Open Database License (ODbL) v1.0 - You are free to: - Share - copy and redistribute the material in any medium or format. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices. - No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material. - No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
File: rows.csv | Column name | Description ...
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
By Health [source]
The CDC PRAMStat survey of 2004 provides a comprehensive lens into the thoughts, experiences, and behaviors of pregnant women throughout the United States. Data collected through this survey captures issues around abuse, alcohol use, contraception, breastfeeding, mental health, morbidity rates and beyond. This data can be used by state health departments to inform programs and policies which are intended to improve maternal and infant health outcomes.
PRAMStat includes population-based data from all 50 states on topics such as preconception health, WIC utilization rates and smoking habits during pregnancy as well as information on unintended pregnancies. The completeness of this data set makes it an invaluable resource for researchers who are seeking insight into maternal attitudes before, during and shortly after pregnancy so that they can work alongside state health officials in order to strive for healthier outcomes in the future.
This dataset contains a variety of columns providing important information necessary to understand the context in which these data were collected β year/location of birth/class/topic/question et al β along with responses each corresponding with particular units or footnotes specified in further columns. The PRAMStat survey is more than just numbers β it gives us powerful insights into how we define motherhood today
For more datasets, click here.
- π¨ Your notebook can be here! π¨!
This dataset is a great resource for those looking to investigate maternal health. It contains data from the CDC PRAMStat survey in 2004 and provides information on maternal attitudes and experiences before, during, and shortly after pregnancy. Here are some tips for using this dataset:
- First, take a look at the data columns to get better acquainted with the types of information available in this dataset. All of the column titles are provided above with an * indicating that it is required for any analysis.
- Once you have identified which columns will be relevant to your investigation, decide what question you want to answer with this data set and create a query statement utilizing whichever columns necessary.
- With your query statement prepared you can then search for answers by filtering or sorting through each column depending on what type of research you planing on doing such as separating questions into different classes or sorting by location with LocationAbbr or LocationDesc columns respectively..
- Depending on type of questions being asked there may be additional sub-categories within responses so make sure include Break_Out and Break_Out_Category fields when needed so that are not missing out important information were possible measure precise responses accurately by including Data _Value_Footnote_Symbol field (if available).
5 This data set also includes Sample Size which must not be overlooked as it will help determine if collected data statistically relevant while Data Value Std Err allows examining deficiencies present sample standard deviation from normal distributions mean value + / - allow further precision evaluation quality accuracy results verification . Lastly GeoLocation field allows researchers examine potential correlations location possibilities .6 Finally , once have extracted desired datasets , can begin viewing individual responses more thoroughly analyze differences between surveys check connections View multiple attributes at same time other display mapping packages allow even further exploration possibilities analyzing statistics regarding geolocations etc .
By following these steps you should be able find meaningful insights about topics related to maternal health from this dataset!
- Creating a predictive model to forecast maternal health and well-being in a particular area based on data such as location, class, topic, response and demographics.
- Using the data to create heat maps and other visuals that illustrate correlations between geographic region and certain maternal health outcomes or topics.
- Analyzing the data to identify regional trends in maternal behaviors before, during, and after pregnancy (e.g., alcohol consumption trends)
If you use this dataset in your research, please credit the original authors. Data Source
License: Open Database License (ODbL) v1.0 - You are free to: ...
Number and percentage of live births, by month of birth, 1991 to most recent year.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
By Health [source]
The Centers for Disease Control and Prevention (CDC) is proud to present PRAMS, the Pregnancy Risk Assessment Monitoring System. This survey provides valuable insights and analysis on maternal health, mindset, and experiences pre-pregnancy through postpartum phase. Statistically representative data is gathered from mothers all over the United States concerning issues such as abuse, alcohol use, contraception, breastfeeding, mental health, obesity and many more.
This survey provides an invaluable source of information which is key in targeting areas that need improvement when it comes to maternal wellbeing. Armed with PRAMS data state health officials are able to work towards promoting a healthy environment for mothers and their babies during this important period of life. Rich in data points ranging from smoking exposure to infant sleep behavior trends can be identified across states as well as nationally with this unique system supported by CDC's partnership with state health departments.
Here you will find a-mazing datasets containing columns such like Year or LocationAbbr or Response allowing you analyze some really meaningful stuff like: Are women in certain parts of the US more likely compared to others to breastfeed? What about rates at which pregnant mothers take prenatal care? Dive into the 2019 CDC PRAMStat dataset today!
For more datasets, click here.
- π¨ Your notebook can be here! π¨!
In order to make full use of this dataset itβs important that you understand what each column contains so that you can extract the most relevant data for your purposes. Here are some tips for understanding how to maximize this dataset: - Look through each column carefully β take note of which columns contain numerical information (Data_Value_Unit), categorical responses (Response) or location descriptions (Location Desc). - Make sure that you are aware of any standard errors that may be associated with data values (Data_Value_Std_Err). - Itβs useful to know the source(DataSource)of your data so if possible check out who has collected it.
- Check what classifications have been used in BreakOut columns β this can give additional insight into how subjects were divided up within datasets.
- Understand how pregnancies were grouped together geographically by taking a look at LocationAbbr and Geolocation columns - understanding where surveys have been done can help break down regional differences in responses.
With these steps will help you navigate through your dataset so that you can accurately interpret questions posed by pregnant women from different locations across the U.S.
- Using this dataset, public health officials could analyze maternal attitudes and experiences over a period of time to develop targeted strategies to improve maternal health.
- This dataset can be used to create predictive models of maternal behavior based on the amount of prenatal care received and other factors such as alcohol use, sleep behavior and tobacco use.
- Analyzing this dataset would also allow researchers to identify trends in infant wellbeing outcomes across various states/municipalities with different policies/interventions in place which can then be replicated in other areas with similar characteristics
If you use this dataset in your research, please credit the original authors. Data Source
License: Open Database License (ODbL) v1.0 - You are free to: - Share - copy and redistribute the material in any medium or format. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices. - No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material. - No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
File: rows.csv | Column name | Description ...