# check the class of new value column 4:84. In this case, the NC sweetpotato data will be saved to a file called nc_sweetpotato_data_query_on_20201001.csv on your desktop. Share sensitive information only on official, The advantage of this Queries that would return more records return an error and will not continue. system environmental variable when you start a new R = 2012, but you may also want to query ranges of values. Quick Stats Lite provides a more structured approach to get commonly requested statistics from our online database. capitalized. To browse or use data from this site, no account is necessary! into a data.frame, list, or raw text. Looking for U.S. government information and services? Once the The census takes place once every five years, with the next one to be completed in 2022. Next, you can use the select( ) function again to drop the old Value column. Here are the two Python modules that retrieve agricultural data with the Quick Stats API: To run the program, you will need to install the Python requests and urllib packages. 2020. Agricultural Resource Management Survey (ARMS). Instead, you only have to remember that this information is stored inside the variable that you are calling NASS_API_KEY. Many people around the world use R for data analysis, data visualization, and much more. R sessions will have the variable set automatically, Access Quick Stats Lite . If you use In this case, you can use the string of letters and numbers that represents your NASS Quick Stats API key to directly define the key parameter that the function needs to work. year field with the __GE modifier attached to return the request object. You can then visualize the data on a map, manipulate and export the results, or save a link for future use. We also recommend that you download RStudio from the RStudio website. One of the main missions of organizations like the Comprehensive R Archive Network is to curate R packages and make sure their creators have met user-friendly documentation standards. The Quick Stats Database is the most comprehensive tool for accessing agricultural data published by NASS. The CDL is a crop-specific land cover classification product of more than 100 crop categories grown in the United States. nc_sweetpotato_data_survey <- filter(nc_sweetpotato_data_sel, source_desc == "SURVEY" & county_name != "OTHER (COMBINED) COUNTIES") multiple variables, geographies, or time frames without having to By setting domain_desc = TOTAL, you will get the total acreage of sweetpotatoes in the county as opposed to the acreage of sweetpotates in the county grown by operators or producers of specific demographic groups that contribute to the total acreage of harvested sweetpotatoes in the county. A list of the valid values for a given field is available via Quick Stats Lite provides a more structured approach to get commonly requested statistics from . Either 'CENSUS' or 'SURVEY'", https://quickstats.nass.usda.gov/api#param_define. Skip to 6. You can also write the two steps above as one step, which is shown below. Production and supplies of food and fiber, prices paid and received by farmers, farm labor and wages, farm finances, chemical use, and changes in the demographics of U.S. producers are only a few examples. . Beginning in May 2010, NASS agricultural chemical use data are published to the Quick Stats 2.0 database only (full-text publications have been discontinued), and can be found under the NASS Chemical Usage Program. Due to suppression of data, the In some cases you may wish to collect For # filter out census data, to keep survey data only The <- character combination means the same as the = (that is, equals) character, and R will recognize this. 2019. is needed if subsetting by geography. 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. If you use Visual Studio, you can install them through the IDEs menu by following these instructions from Microsoft. How to install Tableau Public and learn about it if you want to try it to visualize agricultural data or use it for other projects. Taken together, R reads this statement as: filter out all rows in the dataset where the source description column is exactly equal to SURVEY and the county name is not equal to OTHER (COMBINED) COUNTIES. If you are using Visual Studio, then set the Startup File to the file run_usda_quick_stats.py. Do do so, you can Census of Agriculture (CoA). Next, you can define parameters of interest. United States Department of Agriculture. Chambers, J. M. 2020. Note: You need to define the different NASS Quick Stats API parameters exactly as they are entered in the NASS Quick Stats API. key, you can use it in any of the following ways: In your home directory create or edit the .Renviron The example Python program shown in the next section will call the Quick Stats with a series of parameters. Create a worksheet that shows the number of acres harvested for top commodities from 1997 through 2021. you downloaded. After it receives the data from the server in CSV format, it will write the data to a file with one record per line. A Medium publication sharing concepts, ideas and codes. The Comprehensive R Archive Network website, Working for Peanuts: Acquiring, Analyzing, and Visualizing Publicly Available Data. RStudio is another open-source software that makes it easier to code in R. The latest version of RStudio is available at the RStudio website. An API request occurs when you programmatically send a data query from software on your computer (for example, R, Section 4) to the API for some NASS survey data that you want. rnassqs: Access the NASS 'Quick Stats' API. Corn stocks down, soybean stocks down from year earlier If you think back to algebra class, you might remember writing x = 1. However, if you only knew English and tried to read the recipe in Spanish or Japanese, your favorite treat might not turn out very well. Corn production data goes back to 1866, just one year after the end of the American Civil War. While the Quick Stats database contains more than 52 million records, any call using GET /api/api_GET query is limited to a 50,000-record result set. Cooperative Extension prohibits discrimination and harassment regardless of age, color, disability, family and marital status, gender identity, national origin, political beliefs, race, religion, sex (including pregnancy), sexual orientation and veteran status. Copy BibTeX Tags API reproducibility agriculture economics Altmetrics Markdown badge Winter Wheat Seedings up for 2023, 12/13/22 NASS to publish milk production data in updated data dissemination format, 11/28/22 USDA-NASS Crop Progress report delayed until Nov. 29, 10/28/22 NASS reinstates Cost of Pollination survey, 09/06/22 NASS to review acreage information, 09/01/22 USDA NASS reschedules 2021 Conservation Practice Adoption Motivations data highlights release, 05/06/22 Respond Now to the 2022 Census of Agriculture, 08/05/20 The NASS Mission: We do it for you, 04/11/19 2017 Census of Agriculture Highlight Series Farms and Land in Farms, 04/11/19 2017 Census of Agriculture Highlight Series Economics, 04/11/19 2017 Census of Agriculture Highlight Series Demographics, 02/08/23 Crop Production (February 2023), 01/31/23 Cattle & Sheep and Goats (January 2023), 12/23/22 Quarterly Hogs and Pigs (December 2022), 12/15/22 2021 Certified Organics (December 2022), Talking About NASS - A guide for partners and stakeholders, USDA and NASS Anti-Harassment Policy Statement, REE Reasonable Accommodations and Personal Assistance Services, Safeguarding America's Agricultural Statistics Report and Video, Agriculture Counts - The Founding and Evolution of the National Agricultural Statistics Service 1957-2007, Hours: 7:30 a.m. - 4:00 p.m. Eastern Time Monday - Friday, except federal holidays Toll-Free: (800) 727-9540, Hours: 9:00 a.m. - 5:30 p.m. Eastern Time Monday - Friday, except federal holidays Toll-Free: (833) One-USDA Data are currently available in the following areas: Pre-defined queries are provided for your convenience. Also, be aware that some commodity descriptions may include & in their names. Suggest a dataset here. Washington and Oregon, you can write state_alpha = c('WA', And data scientists, analysts, engineers, and any member of the public can freely tap more than 46 million records of farm-related data managed by the U.S. Department of Agriculture (USDA). Quickstats is the main public facing database to find the most relevant agriculture statistics. the QuickStats API requires authentication. You can define this selected data as nc_sweetpotato_data_sel. Please click here to provide feedback for any of the tools on this page. install.packages("tidyverse") Public domain information on the National Agricultural Statistics Service (NASS) Web pages may be freely downloaded and reproduced. Using rnassqs Nicholas A Potter 2022-03-10. rnassqs is a package to access the QuickStats API from national agricultural statistics service (NASS) at the USDA. For example, in the list of API parameters shown above, the parameter source_desc equates to Program in the Quick Stats query tool. If you have already installed the R package, you can skip to the next step (Section 7.2). Here is the format of the base URL that will be used in this articles example: http://quickstats.nass.usda.gov/api/api_GET/?key=api key&{parameter parameter}&format={json | csv | xml}. In this example shown below, I used Quick Stats to build a query to retrieve the number of acres of corn harvested in the US from 2000 through 2021. If you use this function on the Value column of nc_sweetpotato_data_survey, R will return character, but you want R to return numeric. functions as follows: # returns a list of fields that you can query, #> [1] "agg_level_desc" "asd_code" "asd_desc", #> [4] "begin_code" "class_desc" "commodity_desc", #> [7] "congr_district_code" "country_code" "country_name", #> [10] "county_ansi" "county_code" "county_name", #> [13] "domaincat_desc" "domain_desc" "end_code", #> [16] "freq_desc" "group_desc" "load_time", #> [19] "location_desc" "prodn_practice_desc" "reference_period_desc", #> [22] "region_desc" "sector_desc" "short_desc", #> [25] "state_alpha" "state_ansi" "state_name", #> [28] "state_fips_code" "statisticcat_desc" "source_desc", #> [31] "unit_desc" "util_practice_desc" "watershed_code", #> [34] "watershed_desc" "week_ending" "year", #> [1] "agg_level_desc: Geographical level of data. Harvesting its rich datasets presents opportunities for understanding and growth. # plot the data Be sure to keep this key in a safe place because it is your personal key to the NASS Quick Stats API. For example, say you want to know which states have sweetpotato data available at the county level. This tool helps users obtain statistics on the database. The sample Tableau dashboard is called U.S. ~ Providing Timely, Accurate and Useful Statistics in Service to U.S. Agriculture ~, County and District Geographic Boundaries, Crop Condition and Soil Moisture Analytics, Agricultural Statistics Board Corrections, Still time to respond to the 2022 Census of Agriculture, USDA to follow up with producers who have not yet responded, 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), 2022 Census of Agriculture due next week Feb. 6, Corn and soybean production down in 2022, USDA reports This work is supported by grant no. NASS Regional Field Offices maintain a list of all known operations and use known sources of operations to update their lists. Ward, J. K., T. W. Griffin, D. L. Jordan, and G. T. Roberson. The site is secure. These codes explain why data are missing. This number versus character representation is important because R cannot add, subtract, multiply, or divide characters. If all works well, then it should be completed within a few seconds and it will write the specified CSV file to the output folder. commitment to diversity. Peng, R. D. 2020. nassqs_auth(key = NASS_API_KEY). This publication printed on: March 04, 2023, Getting Data from the National Agricultural Statistics Service (NASS) Using R. Skip to 1. To install packages, use the code below. it. Note that the value PASTE_YOUR_API_KEY_HERE must be replaced with your personal API key. The name in parentheses is the name for the same value used in the Quick Stats query tool. 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 To put its scale into perspective, in 2021, more than 2 million farms operated on more than 900 million acres (364 million hectares). # filter out Sampson county data In fact, you can use the API to retrieve the same data available through the Quick Stats search tool and the Census Data Query Tool, both of which are described above.