Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wright County, IA

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wright County, IA
Series ID MHICILBIA19197A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2024-01-01
Last Updated 2026-02-09 7:10 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 22424
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26458
1994-01-01 .
1995-01-01 28839
1996-01-01 .
1997-01-01 32436
1998-01-01 33687
1999-01-01 33792
2000-01-01 34909
2001-01-01 34648
2002-01-01 34849
2003-01-01 36352
2004-01-01 39208
2005-01-01 37425
2006-01-01 39814
2007-01-01 39430
2008-01-01 41971
2009-01-01 42845
2010-01-01 41339
2011-01-01 39508
2012-01-01 43218
2013-01-01 45413
2014-01-01 44940
2015-01-01 46078
2016-01-01 43188
2017-01-01 48582
2018-01-01 51110
2019-01-01 48951
2020-01-01 48469
2021-01-01 54575
2022-01-01 61859
2023-01-01 67342
2024-01-01 61237

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