Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jay County, IN
Series ID MHICIUBIN18075A052NCEN
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 1:52 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 25414
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29041
1994-01-01 .
1995-01-01 32105
1996-01-01 .
1997-01-01 35101
1998-01-01 36263
1999-01-01 36520
2000-01-01 39132
2001-01-01 37808
2002-01-01 37621
2003-01-01 38165
2004-01-01 40618
2005-01-01 36070
2006-01-01 38738
2007-01-01 44153
2008-01-01 45406
2009-01-01 42057
2010-01-01 41061
2011-01-01 41313
2012-01-01 45552
2013-01-01 44712
2014-01-01 41431
2015-01-01 45850
2016-01-01 50374
2017-01-01 51202
2018-01-01 53115
2019-01-01 54613
2020-01-01 45117
2021-01-01 57196
2022-01-01 64132

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