Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Stanton County, NE
Series ID MHICILBNE31167A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 24055
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28103
1994-01-01 .
1995-01-01 26866
1996-01-01 .
1997-01-01 32244
1998-01-01 32578
1999-01-01 34267
2000-01-01 35109
2001-01-01 35325
2002-01-01 34198
2003-01-01 36920
2004-01-01 38554
2005-01-01 36595
2006-01-01 38818
2007-01-01 40938
2008-01-01 44843
2009-01-01 42319
2010-01-01 45660
2011-01-01 45157
2012-01-01 49908
2013-01-01 49272
2014-01-01 50351
2015-01-01 51221
2016-01-01 52433
2017-01-01 52081
2018-01-01 61659
2019-01-01 55095
2020-01-01 54276
2021-01-01 65177
2022-01-01 67101
2023-01-01 69616

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