Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clinton County, IA
Series ID MHICILBIA19045A052NCEN
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 23623
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27891
1994-01-01 .
1995-01-01 29553
1996-01-01 .
1997-01-01 32893
1998-01-01 34059
1999-01-01 34744
2000-01-01 35918
2001-01-01 35289
2002-01-01 35520
2003-01-01 36323
2004-01-01 38031
2005-01-01 38564
2006-01-01 39260
2007-01-01 40470
2008-01-01 43647
2009-01-01 43443
2010-01-01 43224
2011-01-01 41396
2012-01-01 42912
2013-01-01 45945
2014-01-01 44082
2015-01-01 49671
2016-01-01 45387
2017-01-01 46679
2018-01-01 46942
2019-01-01 50972
2020-01-01 49062
2021-01-01 56214
2022-01-01 55435

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