Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, NC
Series ID MHICILBNC37109A052NCEN
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 26384
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30434
1994-01-01 .
1995-01-01 32042
1996-01-01 .
1997-01-01 32760
1998-01-01 34061
1999-01-01 36955
2000-01-01 38319
2001-01-01 38270
2002-01-01 38439
2003-01-01 39712
2004-01-01 40917
2005-01-01 41770
2006-01-01 40616
2007-01-01 46598
2008-01-01 46302
2009-01-01 45421
2010-01-01 42356
2011-01-01 46610
2012-01-01 44759
2013-01-01 46906
2014-01-01 46438
2015-01-01 45987
2016-01-01 48088
2017-01-01 52421
2018-01-01 57628
2019-01-01 66732
2020-01-01 51345
2021-01-01 67477
2022-01-01 72346

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