Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, NE
Series ID MHICILBNE31061A052NCEN
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 18316
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22846
1994-01-01 .
1995-01-01 22057
1996-01-01 .
1997-01-01 24749
1998-01-01 26379
1999-01-01 27554
2000-01-01 28818
2001-01-01 28515
2002-01-01 28093
2003-01-01 30023
2004-01-01 31009
2005-01-01 29329
2006-01-01 30411
2007-01-01 31273
2008-01-01 34192
2009-01-01 34735
2010-01-01 35888
2011-01-01 37380
2012-01-01 39298
2013-01-01 40688
2014-01-01 40317
2015-01-01 41084
2016-01-01 41421
2017-01-01 43110
2018-01-01 44098
2019-01-01 44724
2020-01-01 43606
2021-01-01 47835
2022-01-01 52054

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