Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Stanton County, NE
Series ID MHICIUBNE31167A052NCEN
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 3:12 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 28686
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32676
1994-01-01 .
1995-01-01 33361
1996-01-01 .
1997-01-01 38624
1998-01-01 38924
1999-01-01 39128
2000-01-01 40954
2001-01-01 40595
2002-01-01 39421
2003-01-01 41912
2004-01-01 43813
2005-01-01 43558
2006-01-01 46425
2007-01-01 49849
2008-01-01 54304
2009-01-01 51385
2010-01-01 55044
2011-01-01 51739
2012-01-01 58396
2013-01-01 59254
2014-01-01 61559
2015-01-01 61625
2016-01-01 63281
2017-01-01 64509
2018-01-01 70797
2019-01-01 68995
2020-01-01 73898
2021-01-01 78241
2022-01-01 83035
2023-01-01 86608

Subscribe to the FRED newsletter


Follow us

Back to Top