Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Saline County, NE
Series ID MHICIUBNE31151A052NCEN
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 2:31 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 28083
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32517
1994-01-01 .
1995-01-01 34556
1996-01-01 .
1997-01-01 38655
1998-01-01 40006
1999-01-01 38741
2000-01-01 40260
2001-01-01 39951
2002-01-01 40796
2003-01-01 42330
2004-01-01 44626
2005-01-01 45617
2006-01-01 46288
2007-01-01 49652
2008-01-01 50814
2009-01-01 50040
2010-01-01 46917
2011-01-01 51640
2012-01-01 53121
2013-01-01 53604
2014-01-01 56561
2015-01-01 60271
2016-01-01 56646
2017-01-01 58535
2018-01-01 59384
2019-01-01 66646
2020-01-01 71137
2021-01-01 70559
2022-01-01 77768
2023-01-01 82593

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