Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lyon County, IA
Series ID MHICILBIA19119A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:54 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 22816
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27130
1994-01-01 .
1995-01-01 27758
1996-01-01 .
1997-01-01 32053
1998-01-01 31715
1999-01-01 34446
2000-01-01 35752
2001-01-01 36118
2002-01-01 35707
2003-01-01 37020
2004-01-01 41432
2005-01-01 41078
2006-01-01 42059
2007-01-01 45112
2008-01-01 45691
2009-01-01 45121
2010-01-01 47169
2011-01-01 49731
2012-01-01 50573
2013-01-01 55118
2014-01-01 57017
2015-01-01 58726
2016-01-01 56889
2017-01-01 56969
2018-01-01 62663
2019-01-01 58883
2020-01-01 59354
2021-01-01 63862
2022-01-01 67092

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