Cobalt traded flat at 33,335 USD/T on July 10, 2025. Over the past month, Cobalt's price has remained flat, but it is still 22.78% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Cobalt - values, historical data, forecasts and news - updated on July of 2025.

This data release provides descriptions of more than 60 mineral regions, mines, and mineral deposits within the United States and its territories that are reported to contain enrichments of cobalt (Co). To focus the scope of this data release, we report only mined deposits and exploration prospects with past production, or resource and reserve estimates of 1,000 metric tons or more of cobalt. Cobalt has diverse uses because of its properties, which include ferromagnetism, hardness, wear-resistance, low conductivity, and high melting point. The primary uses for cobalt are in rechargeable battery electrodes, and in superalloys used to make gas turbine engines. In 2017, the United States had a net import reliance as a percentage of apparent consumption of 72 percent for cobalt, and cobalt is considered a critical mineral. Cobalt mineralogy is diverse; it occurs in a variety of sulfide, arsenide, sulfarsenide, and oxyhydroxide minerals. In the United States, cobalt could be derived as a byproduct from mineral deposits that primarily produce other metals, including nickel, copper, zinc, and lead. The inclusion of a particular mineral deposit or prospect in this database is not meant to imply that it has economic potential. Rather, these entries were included to capture the characteristics of the deposits and prospects in the United States and its territories that have the largest cobalt resources. These deposits and prospects occur in Alaska, California, Idaho, Maine, Michigan, Minnesota, Missouri, Montana, North Carolina, New Mexico, Oregon, Pennsylvania, Puerto Rico and Tennessee. Several deposits and prospects were not included in this database, because they contain less than 1,000 metric tons of cobalt. A prime example is the Bunkerville project in Nevada (Ludington and others, 2006). The Stillwater deposit in Montana produced cobalt, but this was a byproduct, and to our knowledge, there are no published records of the amount of cobalt produced, or the amount of cobalt contained within the deposit. Analyses of rock chips from 47 outcrops of the Katahdin deposit in Maine indicates that the deposit locally contains approximately 0.1 percent cobalt (Miller, 1945), but a thorough analysis of the deposit is lacking. Mine La Motte in Missouri and the Stone Corral project in California were not included because of a lack of ore reserve information in publicly available references. However, we are aware that cobalt is present in the area and we welcome further information on these sites. The entries and descriptions in the database were derived from published papers, reports, data, and internet documents, published from 1908 to 2018, representing a variety of sources, including geologic and exploration studies described in State, Federal, and industry reports. Although an attempt was made to capture as many examples as possible, this dataset is a progress report that is part of an ongoing effort. The authors welcome additional published information in order to continually update and refine this dataset.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Cobalt, MO, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 11,384, while the mean income for the highest quintile (20% of households with the highest income) is 95,863. This indicates that the top earners earn 8 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 142,052, which is 148.18% higher compared to the highest quintile, and 1247.82% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Cobalt median household income. You can refer the same here

The statistics include all market value sales in Scotland, based on the date of registration with Registers of Scotland. Areas with less than 5 sales have had the value of sales suppressed to help minimise the risk of data disclosure and to ensure that any averages presented are based on at least 5 records. For the most up to date Scotland and Local Authority figures please see Registers of Scotland house price statistics. For a comparison, to understand the difference between these two datasets please see our guide to using RoS house price statistics. how-we-compile-our-statistics. For house price data dating from 1993 please see House Prices.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Cobalt: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 3(2.46%) households where the householder is under 25 years old, 51(41.80%) households with a householder aged between 25 and 44 years, 38(31.15%) households with a householder aged between 45 and 64 years, and 30(24.59%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the village of Cobalt, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Cobalt median household income by age. You can refer the same here

The demand for lithium-ion batteries (Li-ionBs) has surged, with a projected market value of $116 billion by 2030. However, only 5% of spent Li-ionBs are currently recycled due to the high costs, energy consumption, and environmental risks of existing recycling methods. This study focuses on developing an efficient, eco-friendly process to recover valuable metals like lithium (Li), cobalt (Co), nickel (Ni), and manganese (Mn) from Li-ionB waste, specifically targeting NMC 532 cathodes.Key innovations include using potentiostatic electrowinning with rotating cathodes and Pt-coated Ti anodes to selectively recover high-purity Ni-Co alloys (99% pure) , avoiding traditional, energy-intensive hydrometallurgical steps. Optimized leaching achieved recovery efficiencies of ~98.9% for Li, ~97.1% for Co, ~96.9% for Ni, and ~95.7% for Mn. Subsequent multi-stage precipitation recovered Ni, Co, Mn, and Li in various forms, lithium carbonate (Li₂CO₃, 99 % pure), manganese hydroxide (Mn(OH)₂, 99 % pure), and 0.6[Ni(OH)2].0.3[Mn(OH)2].0.1Co(OH)2. The spectra and chronoamperometry of the recovered materials are presented in the presented data sets.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Cobalt, MO, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Cobalt, MO reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Cobalt households based on income levels.

Key observations

• For Family Households: In Cobalt, the majority of family households, representing 23.33%, earn $20,000 to $24,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling Less than $10,000, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Cobalt, the majority of non-family households, accounting for 43.75%, have income $15,000 to $19,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn Less than $10,000, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Cobalt, MO (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Cobalt, MO
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Cobalt, MO
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Cobalt, MO

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Cobalt median household income. You can refer the same here

Cobalt, designated a critical mineral by the European Union and the United States, is a crucial component of the lithium-ion batteries found in cell phones, electric vehicles, and personal computing devices. Over half of the world’s cobalt supply is produced in the Democratic Republic of the Congo (DRC), where cobalt is mined in both large-scale and artisanal or small-scale operations. This dataset focuses on Africa’s mineral-rich Copperbelt region, an area mined for both copper and cobalt, that extends south across the DRC boundary into neighboring Zambia. Existing geoscientific data and remote sensing analysis were investigated to build a comprehensive dataset describing cobalt mining extent and technique (large- or artisanal/small-scale).
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

involving 5 distinct batches

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Cobalt. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Cobalt. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Cobalt, the median household income stands at $49,000 for householders within the 45 to 64 years age group, followed by $36,250 for the 65 years and over age group. Notably, householders within the 25 to 44 years age group, had the lowest median household income at $20,729.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Cobalt median household income by age. You can refer the same here

As geography reference material, this file contains lookup information, showing how 2011 data zone geographic units can be aggregated to higher level archived geographies. The compressed file includes a file with the archived geography codes register containing dates between which each geography was valid and covers changes to geographies made before 04/07/2024 - DataZone2011-Archived-Geographies.csv. The geographies covered by this table are: (GSS code - Name - Column name in file) S01 - Data Zone - DZ2011 S13 - Multi Member Electoral Wards - MMWard S12 - Local Authority - LA S16 - Scottish Parliamentary Constituencies - SPC S08 - NHS Health Board - HB S14 - UK Parliamentary Constituencies - UKPC The compressed file also contains full lookup tables for the most recent updates after 05/05/2022 with the dates between which the lookup is valid included in the file name. The geographies included in these lookup tables are: (GSS code - Name - Column name in file) S01 - Data Zone - DZ2011 S02 - Intermediate Zone - IZ2011 S13 - Multi Member Electoral Wards - MMWard S12 - Local Authority - LA S16 - Scottish Parliamentary Constituencies - SPC S14 - UK Parliamentary Constituencies - UKPC S08 - NHS Health Board - HB S37 - NHS Integration Authorities - HIA S32 - Scottish Police Divisions - SPD S39 - Scottish Fire and Rescue Local Senior Officer Areas - SFRLSO S40 - Scottish Fire and Rescue Service Delivery Areas - SFRSDA S43 - Regional Resilience Partnerships - RRP S42 - Local Resilience Partnerships - LRP S22 - Travel to Work Areas - TTWA Scottish Government Urban Rural Classification - UR2, UR3, UR6, UR8 S92 - Scotland - Country Note - data for Travel to Work Areas (S22) also includes geography code K01, which relates to a cross-border Travel to Work Area. The full Standard Geography Code Register for Scotland can be accessed on the Scottish Government website.

Two manganese nodules having a high clay content, a low Mn/Fe ratio, and low contents of valuable metals (Ni 0.25%, Cu 0.17%, Co 0.06%) were recovered in a grab sample during a short geological cruise in HMAS Kimbla in the southern Tasman Sea in May 1979. Five stations were occupied. Free-fall grabs recovered sediment or pumice from four stations; nothing was recovered from the fifth. The carbonate compensation depth in the region is about 4500 m. Reddish brown clay, but no manganese nodules, was recovered in the central southern Tasman Sea, from depths of 4900-5100 m. The nodules, together with grey calcareous mud, were obtained from a depth of 4300 m, farther to the northwest, near Gascoyne Seamount (250 n. miles SE of Sydney). The results suggest nodules with high metal values are likely to exist only in the broad and deep depression in the central southern Tasman Sea southeast of Gascoyne Seamount, where sedimentation rates are low and oxidising conditions prevail. Whether nodule fields are present or not will only be resolved by considerably more sampling.

Nickel fell to 15,143.75 USD/T on July 11, 2025, down 0.92% from the previous day. Over the past month, Nickel's price has risen 0.26%, but it is still 10.16% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Nickel - values, historical data, forecasts and news - updated on July of 2025.

About this dataset

Context

The dataset illustrates the median household income in Cobalt, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Cobalt decreased by $10,386 (26.68%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Cobalt median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Cobalt by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Cobalt. The dataset can be utilized to understand the population distribution of Cobalt by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Cobalt. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Cobalt.

Key observations

Largest age group (population): Male # 25-29 years (28) | Female # 30-34 years (35). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Cobalt population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Cobalt is shown in the following column.
• Population (Female): The female population in the Cobalt is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Cobalt for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Cobalt Population by Gender. You can refer the same here