Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cherokee County, IA
Series ID MHICIUBIA19035A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 28069
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31586
1994-01-01 .
1995-01-01 34063
1996-01-01 .
1997-01-01 37799
1998-01-01 38578
1999-01-01 38260
2000-01-01 40010
2001-01-01 39553
2002-01-01 40037
2003-01-01 40358
2004-01-01 43142
2005-01-01 44979
2006-01-01 44880
2007-01-01 46691
2008-01-01 49130
2009-01-01 48246
2010-01-01 50243
2011-01-01 51902
2012-01-01 53002
2013-01-01 56655
2014-01-01 58043
2015-01-01 57811
2016-01-01 58968
2017-01-01 62261
2018-01-01 61623
2019-01-01 66739
2020-01-01 70543
2021-01-01 70904
2022-01-01 73698
2023-01-01 78813

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