Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Logan County, NE
Series ID MHICIUBNE31113A052NCEN
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 23727
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28558
1994-01-01 .
1995-01-01 28223
1996-01-01 .
1997-01-01 33321
1998-01-01 29939
1999-01-01 35099
2000-01-01 37553
2001-01-01 37169
2002-01-01 37044
2003-01-01 38303
2004-01-01 39816
2005-01-01 40270
2006-01-01 41647
2007-01-01 44712
2008-01-01 44049
2009-01-01 42489
2010-01-01 46134
2011-01-01 51474
2012-01-01 53483
2013-01-01 53498
2014-01-01 56005
2015-01-01 55852
2016-01-01 56575
2017-01-01 53221
2018-01-01 61492
2019-01-01 59585
2020-01-01 64976
2021-01-01 67360
2022-01-01 74912
2023-01-01 72941

Subscribe to the FRED newsletter


Follow us

Back to Top