Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Buffalo County, NE
Series ID MHICIUBNE31019A052NCEN
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 1:09 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 28356
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33102
1994-01-01 .
1995-01-01 36669
1996-01-01 .
1997-01-01 39412
1998-01-01 41126
1999-01-01 39609
2000-01-01 41607
2001-01-01 40639
2002-01-01 40989
2003-01-01 42558
2004-01-01 43701
2005-01-01 45163
2006-01-01 45805
2007-01-01 49733
2008-01-01 49147
2009-01-01 48906
2010-01-01 48770
2011-01-01 55054
2012-01-01 54613
2013-01-01 56416
2014-01-01 55160
2015-01-01 59195
2016-01-01 62052
2017-01-01 64216
2018-01-01 64564
2019-01-01 69518
2020-01-01 76561
2021-01-01 71125
2022-01-01 74699

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