Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lee County, IA
Series ID MHICILBIA19111A052NCEN
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 1:12 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 23336
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27225
1994-01-01 .
1995-01-01 29171
1996-01-01 .
1997-01-01 31884
1998-01-01 33407
1999-01-01 33683
2000-01-01 34509
2001-01-01 33791
2002-01-01 33378
2003-01-01 34403
2004-01-01 35839
2005-01-01 37689
2006-01-01 36808
2007-01-01 37037
2008-01-01 40849
2009-01-01 37909
2010-01-01 37327
2011-01-01 39423
2012-01-01 38201
2013-01-01 41641
2014-01-01 40825
2015-01-01 41531
2016-01-01 45488
2017-01-01 46761
2018-01-01 43887
2019-01-01 45547
2020-01-01 53259
2021-01-01 50750
2022-01-01 53791

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