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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lyon County, IA
Series ID MHICIUBIA19119A052NCEN
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 7:06 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 27362
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31694
1994-01-01 .
1995-01-01 33971
1996-01-01 .
1997-01-01 38291
1998-01-01 38017
1999-01-01 39335
2000-01-01 41544
2001-01-01 41405
2002-01-01 40941
2003-01-01 42065
2004-01-01 47143
2005-01-01 48434
2006-01-01 48774
2007-01-01 52644
2008-01-01 54887
2009-01-01 51812
2010-01-01 55813
2011-01-01 57065
2012-01-01 58817
2013-01-01 65978
2014-01-01 66483
2015-01-01 69388
2016-01-01 68103
2017-01-01 66529
2018-01-01 75433
2019-01-01 73395
2020-01-01 75206
2021-01-01 77446
2022-01-01 81030
2023-01-01 82083
2024-01-01 94598

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