Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clay County, NE
Series ID MHICIUBNE31035A052NCEN
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 28591
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33192
1994-01-01 .
1995-01-01 34025
1996-01-01 .
1997-01-01 37802
1998-01-01 38287
1999-01-01 37696
2000-01-01 39496
2001-01-01 38512
2002-01-01 38243
2003-01-01 38670
2004-01-01 39521
2005-01-01 40955
2006-01-01 42171
2007-01-01 45123
2008-01-01 45146
2009-01-01 48743
2010-01-01 50367
2011-01-01 51309
2012-01-01 52469
2013-01-01 54441
2014-01-01 59624
2015-01-01 55512
2016-01-01 56648
2017-01-01 56525
2018-01-01 61972
2019-01-01 68191
2020-01-01 69025
2021-01-01 70827
2022-01-01 70627

Subscribe to the FRED newsletter


Follow us

Back to Top