Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Johnson County, NE
Series ID MHICIUBNE31097A052NCEN
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 1:51 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 22611
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27667
1994-01-01 .
1995-01-01 29682
1996-01-01 .
1997-01-01 32464
1998-01-01 33131
1999-01-01 34501
2000-01-01 36581
2001-01-01 36363
2002-01-01 36356
2003-01-01 39719
2004-01-01 40629
2005-01-01 41577
2006-01-01 41601
2007-01-01 46134
2008-01-01 46625
2009-01-01 45255
2010-01-01 45961
2011-01-01 47440
2012-01-01 47015
2013-01-01 49743
2014-01-01 52883
2015-01-01 52136
2016-01-01 52414
2017-01-01 52380
2018-01-01 57572
2019-01-01 60449
2020-01-01 62732
2021-01-01 56928
2022-01-01 67494

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