Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Scott County, IA
Series ID MHICILBIA19163A052NCEN
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 27634
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33245
1994-01-01 .
1995-01-01 35978
1996-01-01 .
1997-01-01 38008
1998-01-01 39852
1999-01-01 40012
2000-01-01 42254
2001-01-01 41969
2002-01-01 42388
2003-01-01 43116
2004-01-01 44235
2005-01-01 46593
2006-01-01 44908
2007-01-01 45780
2008-01-01 50098
2009-01-01 48348
2010-01-01 46110
2011-01-01 48110
2012-01-01 50649
2013-01-01 51241
2014-01-01 52796
2015-01-01 54823
2016-01-01 52745
2017-01-01 55592
2018-01-01 56196
2019-01-01 61845
2020-01-01 63005
2021-01-01 62674
2022-01-01 64131

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