Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Buffalo County, NE
Series ID MHICILBNE31019A052NCEN
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 1:54 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 23848
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28527
1994-01-01 .
1995-01-01 30427
1996-01-01 .
1997-01-01 33164
1998-01-01 34906
1999-01-01 34807
2000-01-01 35849
2001-01-01 35469
2002-01-01 35748
2003-01-01 37536
2004-01-01 38534
2005-01-01 38582
2006-01-01 38857
2007-01-01 43839
2008-01-01 43486
2009-01-01 41113
2010-01-01 41844
2011-01-01 45638
2012-01-01 49305
2013-01-01 48250
2014-01-01 47940
2015-01-01 52431
2016-01-01 52020
2017-01-01 53384
2018-01-01 53822
2019-01-01 60000
2020-01-01 61289
2021-01-01 60317
2022-01-01 60919

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