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cross-sectional data

type of data collected by observing many subjects at the same point of time, or without regard to differences in time
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cross-sectional data

Summary

cross-sectional data ranks in the top 2% of general entities by monthly Wikipedia readership (34 views/month).[1]

Key Facts

  • cross-sectional data's subclass of is recorded as data set[2].
  • cross-sectional data's BNCF Thesaurus ID is recorded as 69360[3].
  • cross-sectional data's Freebase ID is recorded as /m/0941zx[4].
  • cross-sectional data's Microsoft Academic ID is recorded as 29169499[5].
  • cross-sectional data's OpenAlex ID is recorded as C29169499[6].
  • cross-sectional data's Encyclopedia of China is recorded as 51191[7].

Why It Matters

cross-sectional data ranks in the top 2% of general entities by monthly Wikipedia readership (34 views/month).[1] It has Wikipedia articles in 9 language editions, a strong signal of global cultural recognition.[8] It is known by 3 alternative names across languages and contexts.[9]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.
  2. [3] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . OpenAlex. Retrieved . docs.openalex.org. Provenance: wikidata.org.
  6. [7] ↑ . wikidata.org.

Aggregate / graph-position facts

  1. [1] ↑ . Wikimedia Foundation. dumps.wikimedia.org.
  2. [8] ↑ . Wikidata sitelinks. wikidata.org.
  3. [9] ↑ . Wikidata aliases. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). cross-sectional data. Retrieved April 10, 2026, from https://4ort.xyz/entity/cross-sectional-data
MLA “cross-sectional data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 10 Apr. 2026, https://4ort.xyz/entity/cross-sectional-data.
BibTeX @misc{4ortxyz_cross-sectional-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{cross-sectional data}}, year = {2026}, url = {https://4ort.xyz/entity/cross-sectional-data}, note = {Accessed: 2026-04-10}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): cross-sectional data — https://4ort.xyz/entity/cross-sectional-data (retrieved 2026-04-10)

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