how to cite usda nass quick stats

multiple variables, geographies, or time frames without having to The .gov means its official. You can use the select( ) function to keep the following columns: Value (acres of sweetpotatoes harvested), county_name (the name of the county), source_desc (whether data are coming from the NASS census or NASS survey), and year (the year of the data). Healy. For docs and code examples, visit the package web page here . By setting prodn_practice_desc = "ALL PRODUCTION PRACTICES", you will get results for all production practices rather than those that specifically use irrigation, for example. The core functionality allows the user to query agricultural data from 'Quick Stats' in a reproducible and automated way. NASS develops these estimates from data collected through: Dynamic drill-down filtered search by Commodity, Location, and Date range, (dataset) USDA National Agricultural Statistics Service (2017). In this case, the NC sweetpotato data will be saved to a file called nc_sweetpotato_data_query_on_20201001.csv on your desktop. like: The ability of rnassqs to iterate over lists of However, the NASS also allows programmatic access to these data via an application program interface as described in Section 2. nass_data: Get data from the Quick Stats query in usdarnass: USDA NASS In this example, the sum function is doing a task that you can easily code by using the + sign, but it might not always be easy for you to code up the calculations and analyses done by a function. Finally, format will be set to csv, which is a data file format type that works well in Tableau Public. nc_sweetpotato_data_survey <- filter(nc_sweetpotato_data_sel, source_desc == "SURVEY" & county_name != "OTHER (COMBINED) COUNTIES") Here are the pairs of parameters and values that it will submit in the API call to retrieve that data: Following is the full encoded URL that the program below creates and sends with the Quick Stats API. Please note that you will need to fill in your NASS Quick Stats API key surrounded by quotation marks. Have a specific question for one of our subject experts? variable (usually state_alpha or county_code After running these lines of code, you will get a raw data output that has over 1500 rows and close to 40 columns. NASS administers, manages, analyzes, and shares timely, accurate, and useful statistics in service to United States agriculture (NASS 2020). Then use the as.numeric( ) function to tell R each row is a number, not a character. 2017 Census of Agriculture - Census Data Query Tool (CDQT) However, the NASS also allows programmatic access to these data via an application program interface as described in Section 2. To improve data accessibility and sharing, the NASS developed a Quick Stats website where you can select and download data from two of the agencys surveys. In this publication, the word variable refers to whatever is on the left side of the <- character combination. rnassqs package and the QuickStats database, youll be able Official websites use .govA Also, before running the program, create the folder specified in the self.output_file_path variable in the __init__() function of the c_usda_quick_stats class. You can then visualize the data on a map, manipulate and export the results as an output file compatible for updating databases and spreadsheets, or save a link for future use. Access Quick Stats Lite . for each field as above and iteratively build your query. Call 1-888-424-7828 NASS Customer Support is available Monday - Friday, 8am - 5pm CT Please be prepared with your survey name and survey code. Special Tabulations and Restricted Microdata, 02/15/23 Still time to respond to the 2022 Census of Agriculture, USDA to follow up with producers who have not yet responded, 02/15/23 Still time to respond to the 2022 Puerto Rico Census of Agriculture, USDA to follow-up with producers who have not yet responded (Puerto Rico - English), 01/31/23 United States cattle inventory down 3%, 01/30/23 2022 Census of Agriculture due next week Feb. 6, 01/12/23 Corn and soybean production down in 2022, USDA reports Reference to products in this publication is not intended to be an endorsement to the exclusion of others which may have similar uses. rnassqs: Access the NASS 'Quick Stats' API. How do I use the National Agricultural Statistics Service Quickstats tool? Open Tableau Public Desktop and connect it to the agricultural CSV data file retrieved with the Quick Stats API through the Python program described above. The API will then check the NASS data servers for the data you requested and send your requested information back. All of these reports were produced by Economic Research Service (ERS. https://data.nal.usda.gov/dataset/nass-quick-stats. You can see a full list of NASS parameters that are available and their exact names by running the following line of code. API makes it easier to download new data as it is released, and to fetch Access Data from the NASS Quick Stats API rnassqs - rOpenSci As a result, R coders have developed collections of user-friendly R scripts that accomplish themed tasks. For These include: R, Python, HTML, and many more. NASS makes it easy for anyone to retrieve most of the data it captures through its Quick Stats database search web page. DSFW_Peanuts: Analysis of peanut DSFW from USDA-NASS databases. Create a worksheet that allows the user to select a commodity (corn, soybeans, selected) and view the number of acres planted or harvested from 1997 through 2021. For more specific information please contact nass@usda.gov or call 1-800-727-9540. This article will provide you with an overview of the data available on the NASS web pages. The NASS helps carry out numerous surveys of U.S. farmers and ranchers. This will create a new In this case, the task is to request NASS survey data. Quick Stats. a list of parameters is helpful. 2020. Say you want to plot the acres of sweetpotatoes harvested by year for each county in North Carolina. Not all NASS data goes back that far, though. USDA NASS Quick Stats API usdarnass Section 207(f)(2) of the E-Government Act of 2002 requires federal agencies to develop an inventory of information to be published on their Web sites, establish a schedule for publishing information, make those schedules available for public comment, and post the schedules and priorities on the Web site. U.S. National Agricultural Statistics Service (NASS) In this case, youre wondering about the states with data, so set param = state_alpha. USDA National Agricultural Statistics Service Cropland Data - USGS Cooperative Extension is based at North Carolina's two land-grant institutions, Corn stocks down, soybean stocks down from year earlier Lets say you are going to use the rnassqs package, as mentioned in Section 6. nass_data: Get data from the Quick Stats query In usdarnass: USDA NASS Quick Stats API Description Usage Arguments Value Examples Description Sends query to Quick Stats API from given parameter values. A&T State University. Code is similar to the characters of the natural language, which can be combined to make a sentence. There are at least two good reasons to do this: Reproducibility. To submit, please register and login first. The United States is blessed with fertile soil and a huge agricultural industry. Accessing data with computer code comes in handy when you want to view data from multiple states, years, crops, and other categories. Agricultural Commodity Production by Land Area. It allows you to customize your query by commodity, location, or time period. To use a restaurant analogy, you can think of the NASS Quick Stats API as the waitstaff at your favorite restaurant, the NASS data servers as the kitchen, the software on your computer as the waitstaffs order notepad, and the coder as the customer (you) as shown in Figure 1. 2020. 'OR'). In some environments you can do this with the PIP INSTALL utility. 2017 Ag Atlas Maps. For Generally the best way to deal with large queries is to make multiple nassqs_auth(key = "ADD YOUR NASS API KEY HERE"). to the Quick Stats API. Statistics by State Explore Statistics By Subject Citation Request Most of the information available from this site is within the public domain. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production. Agricultural Chemical Usage - Field Crops and Potatoes NASS Next, you need to tell your computer what R packages (Section 6) you plan to use in your R coding session. 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-162.930566 69.858062, -161.908897 70.33333, -160.934797 70.44769, -159.039176 70.891642, -158.119723 70.824721, -156.580825 71.357764, -155.06779 71.147776))), USDA National Agricultural Statistics Service, 005:042 - Department of Agriculture - Agricultural Estimates, 005:043 - Department of Agriculture - Census of Agriculture, 005:050 - Department of Agriculture - Commodity Purchases, 005:15 - National Agricultural Statistics Service. 2019-67021-29936 from the USDA National Institute of Food and Agriculture. Dynamic drill-down filtered search by Commodity, Location, and Date range, beginning with Census or Survey data. It allows you to customize your query by commodity, location, or time period. Here, code refers to the individual characters (that is, ASCII characters) of the coding language. Secure .gov websites use HTTPSA U.S. National Agricultural Statistics Service (NASS) Summary "The USDA's National Agricultural Statistics Service (NASS) conducts hundreds of surveys every year and prepares reports covering virtually every aspect of U.S. agriculture. The Quick Stats Database is the most comprehensive tool for accessing agricultural data published by NASS. and you risk forgetting to add it to .gitignore. Also, the parameter values be replaced with specific parameter-value pairs to search for the desired data. http://quickstats.nass.usda.gov/api/api_GET/?key=PASTE_YOUR_API_KEY_HERE&source_desc=SURVEY§or_desc%3DFARMS%20%26%20LANDS%20%26%20ASSETS&commodity_desc%3DFARM%20OPERATIONS&statisticcat_desc%3DAREA%20OPERATED&unit_desc=ACRES&freq_desc=ANNUAL&reference_period_desc=YEAR&year__GE=1997&agg_level_desc=NATIONAL&state_name%3DUS%20TOTAL&format=CSV. Now that you have a basic understanding of the data available in the NASS database, you can learn how to reap its benefits in your projects with the NASS Quick Stats API. You can define this selected data as nc_sweetpotato_data_sel. Because R is accessible to so many people, there is a great deal of collaboration and sharing of R resources, scripts, and knowledge. It allows you to customize your query by commodity, location, or time period. than the API restriction of 50,000 records. Next, you can use the filter( ) function to select data that only come from the NASS survey, as opposed to the census, and represents a single county. api key is in a file, you can use it like this: If you dont want to add the API key to a file or store it in your NASS Report - USDA Then you can plot this information by itself. It also makes it much easier for people seeking to Corn stocks down, soybean stocks down from year earlier Provide statistical data related to US agricultural production through either user-customized or pre-defined queries. # filter out census data, to keep survey data only You can see whether a column is a character by using the class( ) function on that column (that is, nc_sweetpotato_data_survey$Value where the $ helps you access the Value column in the nc_sweetpotato_data_survey variable). Website: https://ask.usda.gov/s/, June Turner, Director Email: / Phone: (202) 720-8257, Find contact information for Regional and State Field Offices. The USDAs National Agricultural Statistics Service (NASS) makes the departments farm agricultural data available to the public on its website through reports, maps, search tools, and its NASS Quick Stats API. Special Tabulations and Restricted Microdata, 02/15/23 Still time to respond to the 2022 Census of Agriculture, USDA to follow up with producers who have not yet responded, 02/15/23 Still time to respond to the 2022 Puerto Rico Census of Agriculture, USDA to follow-up with producers who have not yet responded (Puerto Rico - English), 01/31/23 United States cattle inventory down 3%, 01/30/23 2022 Census of Agriculture due next week Feb. 6, 01/12/23 Corn and soybean production down in 2022, USDA reports