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Comparison · Infra & APIs

states vs usmap

A side-by-side editorial comparison of states and usmap — release velocity, themes, recent moves, and the top alternatives to consider.

states vs usmap: at a glance

Featurestatesusmap
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themespolitical-science, panel-data, country-codes, datasetscartography, sf, data-packaging, fips
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is states?

State-panel tooling holding steady since its 2020 data and ergonomics release.

states supplies the Gleditsch & Ward and Correlates of War state lists and the tooling to turn them into country-year or country-month panels, with plot_missing() for coverage checks. The substantive work landed in 2020; the releases since are compatibility fixes against ggplot2, dplyr, readr and testthat. The most recent entry is a single test repair.

Read the full states trajectory →

What is usmap?

Ten years in, US mapping splits its data out and finally adds Puerto Rico.

usmap plots US state and county maps in an Alaska- and Hawaii-inset projection and joins user data to them by FIPS code. Over the last two years it has been rebuilt underneath: the map data moved out to a companion usmapdata package, the geometry became sf, and a data_year parameter lets a plot match the vintage of the data being plotted. Version 1.0.0 marks ten years of the project and adds Puerto Rico across every function.

Read the full usmap trajectory →

states vs usmap: editorial side-by-side

S
states
INFRA · APIS
0.0

State-panel tooling holding steady since its 2020 data and ergonomics release.

◆ Current state

states supplies the Gleditsch & Ward and Correlates of War state lists and the tooling to turn them into country-year or country-month panels, with plot_missing() for coverage checks. The substantive work landed in 2020; the releases since are compatibility fixes against ggplot2, dplyr, readr and testthat. The most recent entry is a single test repair.

◆ Where it's heading

The package has reached the point where its own data and API are settled and the release trigger is upstream churn in the tidyverse. What movement there is goes toward making the two state lists interchangeable, with the microstates coding carried from G&W onto the COW data as the clearest example, rather than toward new datasets.

◆ Prediction

The next release is most likely another compatibility pass; a data refresh would be the signal that the package is active again.

U
usmap
INFRA · APIS
0.0

Ten years in, US mapping splits its data out and finally adds Puerto Rico.

◆ Current state

usmap plots US state and county maps in an Alaska- and Hawaii-inset projection and joins user data to them by FIPS code. Over the last two years it has been rebuilt underneath: the map data moved out to a companion usmapdata package, the geometry became sf, and a data_year parameter lets a plot match the vintage of the data being plotted. Version 1.0.0 marks ten years of the project and adds Puerto Rico across every function.

◆ Where it's heading

The package has separated what it draws from how it draws, and that separation is what makes the recent releases possible: annual map vintages ship in usmapdata without touching usmap, and Puerto Rico could be backfilled into every existing year at once. The remaining work is coverage and defaults rather than architecture, and the Puerto Rico exclusion default is already governed by an environment variable rather than a code change.

◆ Prediction

Expect the annual map vintage to keep arriving through usmapdata, with usmap itself changing only where a new territory or a projection default needs handling.

Alternatives to states and usmap

Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either states or usmap.

See all states alternatives → · See all usmap alternatives →

Recent activity from states and usmap

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 11mo agousmapPuerto Rico added across every usmap function and map year
  2. 0y agostatesplot_missing() test fixed for the next ggplot2
  3. 1y agousmapdata_year parameter threaded through the plotting functions
  4. 2y agousmapPopulation and poverty data refreshed; ggplot2 3.5 legend fix
  5. 2y agousmapMap data becomes sf; usmap_transform() returns geometry
  6. 2y agousmapDocumentation links updated
  7. 2y agousmapMap data extracted to a companion usmapdata package
  8. 2y agostatesggplot2 and dplyr deprecation cleanup
  9. 2y agostatesBundled state data stripped to plain data frames
  10. 5y agostatesMicrostate coding for COW data and state_panel() shortcuts
  11. 7y agostatesSimpler defaults for state_panel() and plot_missing()

Frequently asked questions

What is the difference between states and usmap?

They serve adjacent needs but don't currently overlap on shipped themes. states and usmap are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is states better than usmap?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. states and usmap are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to states?

Top states alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "states alternatives" section above for the current picks, or visit /alternatives/states for the full list with editorial commentary on each.

What are the best alternatives to usmap?

Top usmap alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "usmap alternatives" section above for the current picks, or visit /alternatives/usmap for the full list with editorial commentary on each.