Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lucas County, IA
Series ID MHICIUBIA19117A052NCEN
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 1:53 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 23854
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28251
1994-01-01 .
1995-01-01 29855
1996-01-01 .
1997-01-01 33829
1998-01-01 35152
1999-01-01 33910
2000-01-01 35541
2001-01-01 34620
2002-01-01 34788
2003-01-01 34907
2004-01-01 36570
2005-01-01 39887
2006-01-01 39103
2007-01-01 42871
2008-01-01 44886
2009-01-01 42024
2010-01-01 42925
2011-01-01 42273
2012-01-01 47912
2013-01-01 44455
2014-01-01 46554
2015-01-01 51311
2016-01-01 59526
2017-01-01 50233
2018-01-01 54461
2019-01-01 58665
2020-01-01 55239
2021-01-01 68563
2022-01-01 66656

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