Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chickasaw County, IA
Series ID MHICILBIA19037A052NCEN
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 22196
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27728
1994-01-01 .
1995-01-01 29723
1996-01-01 .
1997-01-01 33229
1998-01-01 33515
1999-01-01 35358
2000-01-01 36209
2001-01-01 35401
2002-01-01 35348
2003-01-01 35134
2004-01-01 37866
2005-01-01 40973
2006-01-01 38652
2007-01-01 38849
2008-01-01 39388
2009-01-01 39743
2010-01-01 41275
2011-01-01 43087
2012-01-01 45065
2013-01-01 45699
2014-01-01 47051
2015-01-01 52315
2016-01-01 45202
2017-01-01 50802
2018-01-01 58883
2019-01-01 54663
2020-01-01 55578
2021-01-01 60415
2022-01-01 69035

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