Evidence map›Paper›PMID 25404783›Full record

ArticleApplied geography (Sevenoaks, England)2014

Patterns and causes of uncertainty in the American Community Survey.

Seth E Spielman, David Folch, Nicholas Nagle

Abstract read
In one paragraph

Article in Applied geography (Sevenoaks, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

83 citing papers in PubMed.

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  4. TROPOMI CO and NOEnvironmental science & technology · 2026
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  7. A Practical Strategy of Informatics, Geospatial Mapping, Geodemographic Segmentation, and Regression Analyses to Address Nonadherence to Colorectal Cancer Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Seth E SpielmanGeography Department, University of Colorado, 110 Guggenheim Hall, Box 260 UCB, Boulder, CO 80309, USA ; Institute of Behavioral Science, University of Colorado, 110 Guggenheim Hall, Box 260 UCB, Boulder, CO 80309, USA.
David FolchInstitute of Behavioral Science, University of Colorado, 110 Guggenheim Hall, Box 260 UCB, Boulder, CO 80309, USA.
Nicholas NagleDepartment of Geography, University of Tennessee, USA.

Funding

University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
The University of Colorado Population CenterR24HD066613 · NICHD · UNIVERSITY OF COLORADO · PI PAMPEL, FRED C · 2010 to 2014
$1.9M
NICHD NIH HHS P2C HD066613NICHD NIH HHS R24 HD066613
6 · The paper itself

Abstract

In 2010 the American Community Survey (ACS) replaced the long form of the United States decennial census. The ACS is now the principal source of high-resolution geographic information about the U.S. population. The margins of error on ACS census tract-level data are on average 75 percent larger than those of the corresponding 2000 long-form estimate. The practical implications of this increase is that data are sometimes so imprecise that they are difficult to use. This paper explains why the ACS tract and block group estimates have large margins of error. Statistical concepts are explained in plain English. ACS margins of error are attributed to specific methodological decisions made by the Census Bureau. These decisions are best seen as compromises that attempt to balance financial constraints against concerns about data quality, timeliness, and geographic precision. In addition, demographic and geographic patterns in ACS data quality are identified. These patterns are associated with demographic composition of census tracts. Understanding the fundamental causes of uncertainty in the survey suggests a number of geographic strategies for improving the usability and quality ACS.

Indexed as

American Community SurveyCensus TractMargin of ErrorSmall Area EstimationUncertainty

Identifiers

PMID25404783
PMCPMC4232960

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.