Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Brown County, NE
Series ID MHICILBNE31017A052NCEN
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 1:11 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 17808
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20559
1994-01-01 .
1995-01-01 19873
1996-01-01 .
1997-01-01 22380
1998-01-01 21992
1999-01-01 25943
2000-01-01 27562
2001-01-01 27657
2002-01-01 27553
2003-01-01 29273
2004-01-01 30562
2005-01-01 29241
2006-01-01 29625
2007-01-01 30978
2008-01-01 30879
2009-01-01 24992
2010-01-01 31384
2011-01-01 34481
2012-01-01 35218
2013-01-01 35937
2014-01-01 37987
2015-01-01 42060
2016-01-01 39897
2017-01-01 41771
2018-01-01 41109
2019-01-01 43038
2020-01-01 44789
2021-01-01 46418
2022-01-01 48345

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