Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Johnson County, NE
Series ID MHICILBNE31097A052NCEN
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 18088
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23131
1994-01-01 .
1995-01-01 23300
1996-01-01 .
1997-01-01 26009
1998-01-01 26672
1999-01-01 30162
2000-01-01 31441
2001-01-01 31590
2002-01-01 31565
2003-01-01 34855
2004-01-01 35683
2005-01-01 34465
2006-01-01 34791
2007-01-01 38405
2008-01-01 38093
2009-01-01 36930
2010-01-01 38115
2011-01-01 39612
2012-01-01 38925
2013-01-01 43169
2014-01-01 44139
2015-01-01 42628
2016-01-01 42770
2017-01-01 44656
2018-01-01 47230
2019-01-01 48685
2020-01-01 47392
2021-01-01 44844
2022-01-01 53604

Subscribe to the FRED newsletter


Follow us

Back to Top