Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Valley County, NE
Series ID MHICILBNE31175A052NCEN
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 19240
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22998
1994-01-01 .
1995-01-01 21799
1996-01-01 .
1997-01-01 25056
1998-01-01 25609
1999-01-01 26996
2000-01-01 27607
2001-01-01 27752
2002-01-01 27340
2003-01-01 29103
2004-01-01 31052
2005-01-01 25999
2006-01-01 29618
2007-01-01 31165
2008-01-01 36969
2009-01-01 33606
2010-01-01 34416
2011-01-01 36818
2012-01-01 38106
2013-01-01 39736
2014-01-01 40368
2015-01-01 46129
2016-01-01 38795
2017-01-01 40006
2018-01-01 43754
2019-01-01 43667
2020-01-01 48998
2021-01-01 47689
2022-01-01 48693

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