Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, IA
Series ID MHICIUBIA19097A052NCEN
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 1:53 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 26177
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29517
1994-01-01 .
1995-01-01 31977
1996-01-01 .
1997-01-01 35305
1998-01-01 36622
1999-01-01 36762
2000-01-01 38887
2001-01-01 37853
2002-01-01 38510
2003-01-01 39086
2004-01-01 41139
2005-01-01 42417
2006-01-01 40659
2007-01-01 45195
2008-01-01 45463
2009-01-01 48327
2010-01-01 45812
2011-01-01 49038
2012-01-01 49677
2013-01-01 49226
2014-01-01 53605
2015-01-01 53857
2016-01-01 53121
2017-01-01 57058
2018-01-01 60322
2019-01-01 63508
2020-01-01 66719
2021-01-01 67400
2022-01-01 70901

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