Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sherman County, NE
Series ID MHICIUBNE31163A052NCEN
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 1:51 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 22966
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25514
1994-01-01 .
1995-01-01 24817
1996-01-01 .
1997-01-01 28729
1998-01-01 28809
1999-01-01 30122
2000-01-01 32044
2001-01-01 31994
2002-01-01 31209
2003-01-01 34084
2004-01-01 35640
2005-01-01 36713
2006-01-01 36323
2007-01-01 39583
2008-01-01 41295
2009-01-01 38888
2010-01-01 41184
2011-01-01 43738
2012-01-01 45934
2013-01-01 45202
2014-01-01 47999
2015-01-01 47025
2016-01-01 47854
2017-01-01 59004
2018-01-01 51856
2019-01-01 54427
2020-01-01 56967
2021-01-01 60978
2022-01-01 64351

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