Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, CO
Series ID MHICILBCO08073A052NCEN
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 20058
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24136
1994-01-01 .
1995-01-01 26370
1996-01-01 .
1997-01-01 25706
1998-01-01 27052
1999-01-01 29332
2000-01-01 30761
2001-01-01 29590
2002-01-01 27985
2003-01-01 29210
2004-01-01 29541
2005-01-01 32271
2006-01-01 32282
2007-01-01 32621
2008-01-01 36382
2009-01-01 33769
2010-01-01 35668
2011-01-01 38822
2012-01-01 34664
2013-01-01 37423
2014-01-01 36924
2015-01-01 38916
2016-01-01 38698
2017-01-01 40566
2018-01-01 42047
2019-01-01 37972
2020-01-01 42964
2021-01-01 45506
2022-01-01 47935

Subscribe to the FRED newsletter


Follow us

Back to Top