Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, NE
Series ID MHICIUBNE31111A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 29105
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32923
1994-01-01 .
1995-01-01 36376
1996-01-01 .
1997-01-01 38974
1998-01-01 40422
1999-01-01 39654
2000-01-01 41554
2001-01-01 40417
2002-01-01 40902
2003-01-01 42015
2004-01-01 43787
2005-01-01 44425
2006-01-01 44810
2007-01-01 48677
2008-01-01 52167
2009-01-01 49279
2010-01-01 50391
2011-01-01 53313
2012-01-01 51908
2013-01-01 55658
2014-01-01 53392
2015-01-01 57574
2016-01-01 60667
2017-01-01 61453
2018-01-01 62209
2019-01-01 66858
2020-01-01 70655
2021-01-01 67211
2022-01-01 68998
2023-01-01 68974

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